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Microsoft is forcing an enterprise transition to passkeys

15 July 2026 at 03:04

Passkeys have been around for some time, but enterprise-wide adoption to this point has been slow for a number of reasons. But soon, many Microsoft customers won’t have a choice.

Starting September 1, Microsoft will roll out passkeys as the default authentication method in its cloud-based identity and access management (IAM) service Entra ID. And following a transition period, Microsoft-provided SMS and voice authentication will officially end on February 1, 2027.

With this move, Microsoft seems to be underlining the urgent need for a more secure authentication standard, as attackers up their game with AI.

This is an “important milestone,” because it moves passwordless authentication from an optional security enhancement to the expected standard, noted Ensar Seker, CISO at SOCRadar. “That shift is significant as attackers increasingly rely on AI to automate phishing campaigns, generate convincing login pages, and conduct large-scale credential theft.”

Microsoft’s six-month passkey roll-out

Passkeys require users to authenticate via a fingerprint, facial scan, or lock screen mechanism, rather than a password. They can be stored on physical USB keys (like YubiKey), or as digital credentials on computers, phones, or in cloud accounts.

This method, Microsoft contended, reduces reliance on phishable authentication tools like SMS and voice, and hardens protection against credential theft.

Passkeys “work better for users and worse for cyberattackers,” Nadim Abdo, Microsoft corporate VP for identity and network access engineering, wrote in a blog post.

Microsoft’s announced timeline for rolling out passkeys is relatively aggressive:

  • September 1, 2026: All SMS or voice-enabled users will be “auto-enabled and nudged” to register a passkey upon multifactor authentication (MFA) sign-in.
  • September 18, 2026: Pricing, commercial terms, and a list of supported telecom providers will be shared for scenarios that still require SMS or voice authentication due to regulation or technical or operational challenges.
  • October 30, 2026: Enterprises still using SMS and voice must select and configure a supported telecom provider through the Microsoft Security Store. From then on, they will be responsible for any telecom-related costs.
  • February 1, 2027: Microsoft-provided telecom delivery for SMS and voice authentication ends as a native Microsoft Entra capability.

After February 1, enterprises that require SMS or voice for MFA must register a passkey before sign-in. There will be no opt-out option.

It’s important to note that these dates apply to public cloud-hosted Entra ID. Support for other cloud environments will follow a separate timeline; additional guidance and dates are to come.

While SMS and voice have served their purpose well, Abdo said, bringing MFA to billions of users who otherwise would have had none, the threat environment has changed in “speed, scale, and sophistication,” necessitating this move to passkeys.

The benefits of passkeys

SOCRadar’s Seker pointed out that passkeys fundamentally change the attack surface because, unlike with passwords, there is no transmission of shared secrets that can be stolen by threat actors. Authentication requires possession of the user’s device, along with biometric verification or a PIN.

“Even highly convincing AI-generated phishing pages cannot simply trick users into handing over a passkey the way they can with passwords or one-time codes,” he said.

So why haven’t we seen widespread enterprise adoption? Identity ecosystems are “fragmented,” Seker noted, and many enterprises still rely on legacy applications that only support passwords. They also struggle with cross-platform compatibility, lifecycle management, recovery processes, shared accounts, and employee onboarding and offboarding.

Further, “until recently, many organizations viewed passkeys as a consumer technology rather than an enterprise identity strategy,” he said.

Microsoft’s move changes that equation, because Entra sits at the center of many organizations’ identity infrastructure, Seker noted. Default settings are typically the strongest drivers of security adoption, so when passwordless authentication becomes required rather than optional, organizations are far more likely to deploy it at scale.

Its biggest benefit would be a “dramatic reduction” in credential-based attacks, Seker said. He pointed out that most successful compromises still begin with stolen credentials obtained through phishing, infostealer malware, password reuse, or adversary-in-the-middle attacks. Passkeys “eliminate or significantly reduce” many of those attack paths, while reducing password fatigue and the help desk costs related to password resets.

In addition, rather than trying to continuously improve users’ ability to detect increasingly sophisticated phishing attempts, passkeys remove the credential from the equation altogether, Seker noted. “That represents a more sustainable long-term security strategy than relying solely on user awareness training.”

Still, passkeys are not a silver bullet, as they do not stop endpoint compromise, session token theft, malicious insiders, or attackers who already have control of a trusted device. Enterprises must complement passkeys with endpoint protection, continuous monitoring, conditional access policies, and identity threat detection, Seker advised.

How enterprises can prepare

To prepare for the shift to passkeys, Microsoft advised enterprises to review their authentication policy and identify the groups still using SMS or voice authentication. They should then select the best authentication method for user devices and workflows, and ensure all employees are given passkeys and security keys.

Entra ID supports both synced passkeys (those stored in platform credential managers like iCloud Keychain and Google Password Manager), and device-bound passkeys such as Microsoft Authenticator passkeys, Entra passkey on Windows, or FIDO2 security keys.

Seker advised enterprises to evaluate support for FIDO2 and passkeys across their identity infrastructure, and to develop clear enrollment and recovery procedures. They should also educate users on what’s changing, how passkeys work, and how they can complete registration. Further, Seker said, it’s important to establish secure device management practices and to continue enforcing least privilege, conditional access, and risk-based authentication policies throughout the transition.

Ultimately, he pointed out, the move is crucial. “Over the next several years, organizations that continue relying primarily on passwords will likely face higher operational risk as AI continues to lower the cost and increase the effectiveness of credential-based attacks,” he said.

Midwife Debriefing After Birth Boosts Perinatal Mental Health

9 July 2026 at 05:12

A groundbreaking study from Edith Cowan University (ECU) has demonstrated that a structured, midwife-led birth debrief significantly enhances women’s emotional wellbeing postpartum—a development that could redefine standard maternity care. Conducted at Fiona Stanley Hospital, this research tested a standardized conversation guide for birth debriefings, co-designed with midwives, healthcare managers, and maternity advocates to ensure clinical and emotional relevance.

The intervention centers on an emotionally safe, woman-led discussion facilitated by midwifery expertise and therapeutic communication techniques. According to ECU Research Fellow Dr. Kate Buchanan, such debriefings empower women to reflect on and make sense of their childbirth experience, addressing unresolved questions or distress that may persist after hospital discharge. This approach contrasts markedly with typical critical incident debriefs, which focus on clinical review and involve medical staff rather than midwives, and psychological debriefings aimed solely at trauma patients.

Over 100 women participated in the pilot, reporting high satisfaction levels with the midwife-led conversations. Many described the experience as clarifying, validating, and empowering. Participants particularly valued having the discussion with a midwife they already knew, underlining the importance of continuity of care in emotional processing. Dr. Buchanan highlights that midwives, with their holistic understanding of birth as a profound life event, are uniquely positioned to foster this dialogue.

Significantly, the study underscores the potential of midwife-led debriefs to mitigate birth trauma, a condition affecting roughly 30% of women globally. Women who self-identified as having experienced birth trauma rated the opportunity to talk about their birth with a midwife as the most beneficial aspect of the intervention. This therapeutic exchange may offer relief by deepening understanding of the birth events and connecting mothers to further psychological support if needed.

Despite the additional time and resource investment required, hospital management at Fiona Stanley confirmed the intervention’s feasibility and sustainability, emphasizing the importance of allocated time and ongoing training for midwives. The potential long-term benefits, including reductions in mental health burdens and healthcare costs associated with untreated birth trauma, offer compelling justification for integrating debriefs into routine postnatal care.

This innovative research contributes to expanding the global movement toward integrating psychosocial care within maternal health services. By establishing a replicable model that combines clinical expertise with patient-centered communication, the study positions midwife-led birth debriefing as an essential standard in supporting maternal mental health.

The findings were published in BMC Public Health under the title “Co-design and feasibility testing of a midwife-led birth debrief: an implementation science project,” funded by the Women and Infants Research Foundation. As the movement toward holistic postpartum care gains momentum, this study cements the critical role of midwives not only as birth attendants but also as key agents of emotional support in women’s transition to motherhood.


Subject of Research: People
Article Title: Co-design and feasibility testing of a midwife-led birth debrief: an implementation science project
News Publication Date: 16-Apr-2026
Web References: https://doi.org/10.1186/s12889-026-27342-z
Keywords: Maternal mental health, birth trauma, midwife-led intervention, postpartum care, psychosocial support, implementation science

Balancing Equity and Efficiency with Atkinson’s Welfare

24 June 2026 at 14:39

In the evolving landscape of global water resource management, addressing the persistent tension between equitable distribution and cooperative efficiency remains a paramount challenge. A pioneering study recently published in Nature Water introduces an innovative Atkinson social welfare function (SWF)-based framework that operationalizes distributive equity alongside systemic efficiency within transboundary water systems. By embedding equity explicitly as a normative design criterion, this framework leverages an adjustable inequality aversion parameter, providing policymakers with a powerful tool to balance social justice with optimal resource use.

At the heart of this advancement lies the mathematical backbone of the Atkinson SWF, a function well-regarded for its flexibility in capturing societal preferences for inequality reduction. The framework transforms equity from a nebulous ideal into a quantifiable, adjustable dimension directly integrated within multi-objective optimization. Applied to the Zambezi Watercourse—a complex shared basin impacting multiple countries—the model reveals that introducing inequality aversion yields only modest reductions in total hydropower output, around 1–2.7%, while significantly lowering disparities in country-level generation by 3 to 8 points on the Atkinson index.

This nuance is crucial because natural constraints such as water availability and turbine capacity inherently limit the scope for redistributing hydropower output to improve equity. Instead, the model shows that inequality aversion primarily affects firm generation capacity, where Zimbabwe and Zambia experience substantial percentage increases during critical periods, reflecting strategic operational shifts. Mozambique’s generation remains relatively stable. Such findings underscore a pragmatic approach to equity: rather than static allocation, operational strategies can target support during vulnerable drought conditions, effectively marrying resilience with justice.

Importantly, the concave utility assumption underlying inequality aversion parallels risk aversion concepts in economic theory. This alignment suggests that what often appears as an efficiency sacrifice in pursuit of equity may, in fact, represent a system more robust to uncertainty and stressors. In water resource contexts marked by ecological variability and competing demands, this insight reframes equity not as a zero-sum trade-off but as integral to sustainable cooperation.

A key innovation of the framework is its dynamic adaptiveness during optimization, eschewing rigid allocation rules or static weightings. For instance, when factoring in floating photovoltaic (FPV) investments alongside traditional hydropower, Mozambique assumes the full cost of preserving near-natural environmental flows in its delta—sacrificing 41% of hydropower generation and facing frequent low-output periods. Yet, this environmental stewardship shifts investment priorities away from Zambia to Mozambique without requiring prior distributional knowledge, thereby reducing inequality by 25 Atkinson index points with a modest overall production trade-off of 4.2%. This responsiveness is a critical advancement for transboundary water management, where power dynamics and environmental conditions are perpetually in flux.

The study deliberately calibrates its inequality aversion parameter, epsilon (ϵ), at 2—a level representing strong equity preference—to demonstrate the framework’s capabilities. However, it recognizes stakeholder perspectives may differ widely. Rather than treating epsilon as a technical constant, the authors advocate viewing it as a parameter for deliberation, surfacing explicit negotiation choices among diverse actors. Structured choice experiments could translate complex mathematical trade-offs into intuitively understandable options, enabling stakeholders to reveal implicit equity preferences through participatory processes. This approach dovetails with the multi-objective optimization’s Pareto frontier, which transparently spans the spectrum from maximal efficiency to maximal equity, thus facilitating informed trade-offs.

The researchers embed a normative assumption in their baseline welfare function: treating each country as an equally weighted actor, reflecting sovereignty principles inherent in international water law and institutional arrangements like ZAMCOM, the Zambezi Watercourse Commission. This aligns with the ‘one state, one vote’ doctrine, appropriate for interstate governance frameworks. Yet, the team acknowledges the normative and practical implications of population-weighted alternatives. Incorporating population in the welfare aggregate could, for example, prioritize individual welfare across riparian states rather than equal state-level standing. Such distinctions have profound implications—especially in basins like the Zambezi where the most populous country, Mozambique, has the lowest per-capita hydropower generation.

Extending the framework to a population-weighted SWF or a per-capita welfare input introduces normative choices about justice, as these measure equity through fundamentally different lenses: aggregate human welfare versus national sovereignty. In scenarios where population rankings and per-capita generation rankings conflict, these alternatives may pull policy preferences in divergent directions, underscoring the need for societal dialogue to resolve such trade-offs.

While the study focuses on interstate equity, it also addresses the crucial gap of intrastate disparities, which country-level metrics risk obscuring. Implementing the framework at subnational scales would necessitate coupling basin-wide hydrological models with detailed power system dispatch simulations and geospatial electrification mapping. Though technically complex, such integration promises to capture localized inequalities in access and generation more effectively. Preliminary attempts, such as those conducted in Ghana, employ inequity metrics like the Gini index but lack Atkinson’s adjustable inequality aversion—an essential feature for nuanced policy negotiation. The authors argue that their SWF framework offers scalable advantages for applying distributive justice across regional or even community scales, especially in data-scarce, transboundary environments.

A particularly thought-provoking question arises around accommodating group-specific inequality aversion across demographic or vulnerability categories—such as gender-differentiated impacts or subregional disparities within countries. From a methodological standpoint, the study identifies significant hurdles. Introducing distinct epsilon parameters for multiple groups compromises the anonymity and Pigou-Dalton consistency properties fundamental to welfare economics and adds layers of unquantifiable normative complexity. Instead, the authors advocate maintaining a single inequality aversion parameter, deferring subgroup analyses to disaggregated data where possible and allowing these insights to inform participatory negotiations.

Complementary approaches, including incorporation of needs-referenced thresholds consistent with prioritarian ethics, face challenges tied to the Atkinson function’s strict positivity constraints and the difficulty of justifying group-specific thresholds beyond narrowly defined legal or vulnerability classifications. Ultimately, the study emphasizes that the framework’s power lies in making equity visible and operationally relevant, rather than complicating aggregation with layered value parameters.

Beyond hydropower and water management, this Atkinson SWF-based approach holds broader applicability. Many resource allocation challenges characterized by monotonic, concave utilities—such as renewable energy deployment, biodiversity conservation, or climate adaptation finance—stand to benefit from formalized equity-efficiency trade-offs. Threshold effects or objectives with increasing returns require separate treatment within multi-objective optimization, but many relevant environmental and social goals fit the concavity assumption well.

As climate change intensifies variability in precipitation and water availability, the necessity of cooperative frameworks balancing equity and efficiency becomes ever more urgent to prevent breakdowns in international water agreements. By operationalizing the principle of ‘equitable and reasonable utilization,’ this research translates normative international water law doctrines into tangible, evidence-based decision tools that directly relate to real-world human welfare and environmental sustainability outcomes. The Atkinson SWF, with its adaptable inequality aversion and capacity for participatory negotiation, emerges as a promising lynchpin for future transboundary water governance.

In conclusion, this study marks a notable advance towards integrating distributive justice within multi-actor optimization models for shared water systems. It demonstrates how explicit normative assumptions can coexist with rigorous technical analysis to produce outcomes that are both efficient and equitable. The dynamic responsiveness embedded in the framework addresses the complexity and uncertainty of water sharing arrangements, facilitating adaptive cooperation even as political and climatic conditions evolve. This balanced approach, supported by empirical application to the Zambezi basin, could serve as a blueprint for operationalizing equity in other transboundary resource settings worldwide.

As demands on common-pool resources mount, such integrative approaches will be indispensable for sustaining long-term cooperation. By linking sophisticated welfare economics with participatory policy processes and cutting-edge water system simulations, this research provides both the theoretical foundation and practical pathway to reconcile competing values on the international stage. The Atkinson SWF-based equity framework thus represents a crucial step towards more just, resilient, and sustainable shared water futures.


Subject of Research:
Optimization of distributive equity and cooperative efficiency in transboundary water resource systems using Atkinson’s social welfare function.

Article Title:
Balancing equity and efficiency in transboundary water systems with Atkinson’s welfare function.

Article References:
Arnold, W., Giuliani, M. & Castelletti, A. Balancing equity and efficiency in transboundary water systems with Atkinson’s welfare function. Nat Water (2026). https://doi.org/10.1038/s44221-026-00671-4

Image Credits:
AI Generated

DOI:
https://doi.org/10.1038/s44221-026-00671-4

Exercise and Liraglutide Boost Vascular Health, Reduce Inflammation

24 June 2026 at 12:12

In the ongoing battle against obesity and its associated cardiovascular risks, new scientific insights are shedding light on the complex interplay between weight loss strategies and vascular health. Recent research from the S-LiTE trial, presented in a landmark study by Sandsdal et al., unfolds groundbreaking findings on how exercise and the GLP-1 receptor agonist liraglutide profoundly influence vascular function and systemic inflammation during weight loss maintenance. This investigation not only advances our understanding of therapeutic approaches but also charts a promising path for improving cardiovascular outcomes in individuals struggling with obesity.

Obesity, recognized as a critical driver of cardiovascular disease, involves pathological alterations in the vascular system and chronic low-grade inflammation. These pathological changes elevate the risk of atherosclerosis, hypertension, and ultimately, heart failure. Consequently, effective weight loss maintenance after initial reductions is paramount for sustaining vascular benefits and mitigating long-term health risks. Despite existing weight loss regimens, relapse rates are high, and how these interventions impact vascular integrity during the maintenance phase remains incompletely understood. The S-LiTE trial rigorously targeted this knowledge gap, merging pharmacological and lifestyle components for a nuanced examination.

Exercise has been universally endorsed as a cornerstone intervention in weight management and cardiovascular disease prevention. Its benefits extend beyond simple calorie expenditure, encompassing modulation of endothelial function, arterial stiffness, and inflammatory profiles. Liraglutide, a glucagon-like peptide-1 (GLP-1) receptor agonist, has garnered attention for its potent weight-lowering effects through appetite regulation and metabolic improvements. However, the independent and combined vascular effects of exercise and liraglutide during the maintenance phase after weight loss had yet to be elucidated prior to this study.

The S-LiTE trial meticulously randomized participants who had achieved significant weight reduction to either an exercise program, liraglutide treatment, a combination of both, or placebo, allowing for a comprehensive comparison across groups. Over the course of the trial, vascular health parameters such as carotid artery compliance, endothelial function assessed via flow-mediated dilation, and systemic inflammatory markers including C-reactive protein (CRP) and interleukins were closely monitored. The multidimensional assessment unveiled striking differences attributable to intervention modalities.

Exercise alone was associated with notable improvements in arterial compliance and a favorable reduction in markers of vascular inflammation. The mechanical stimuli generated during physical activity promote shear stress on vessel walls, which in turn enhance nitric oxide bioavailability and endothelial repair mechanisms. These physiological adaptations are critical for maintaining vascular elasticity and preventing atherogenic processes. This study underscores the indispensable role of exercise not just in weight regulation but as a direct modulator of vascular integrity.

Liraglutide, beyond its appetite-suppressant and glycemic control effects, demonstrated intrinsic vascular benefits. The study highlighted liraglutide’s capacity to enhance endothelial function independently of exercise, potentially through GLP-1 receptor-mediated pathways that reduce oxidative stress and inhibit pro-inflammatory signaling cascades. This offers compelling evidence supporting the use of GLP-1 receptor agonists as adjunct therapies in cardiovascular risk reduction within the obese population.

Intriguingly, the combination of exercise and liraglutide yielded additive benefits, with participants exhibiting the most pronounced improvements in vascular compliance and the greatest suppression of inflammatory cytokines. This synergistic effect suggests that the pharmacological and mechanical influences converge on complementary pathways, amplifying the overall vascular protective effect. Such findings advocate for integrative treatment frameworks that leverage both lifestyle and pharmacotherapy in obesity management.

Delving deeper, the study’s prespecified secondary analysis elucidated how these interventions influenced various immune cell populations that are pivotal contributors to vascular inflammation. It was evident that the combined approach modulated monocyte and macrophage activation states, steering them towards anti-inflammatory phenotypes. This immune modulation is instrumental in curbing chronic inflammation and subsequent endothelial dysfunction, which are foundational in the pathogenesis of vascular disease.

Beyond the vascular sphere, the inflammatory milieu impacts insulin sensitivity and adipose tissue dynamics, central to metabolic health. The study posits that improvements in vascular health might interplay with metabolic regulation, facilitating a virtuous cycle of weight loss maintenance and cardiovascular risk attenuation. This holistic perspective on obesity interventions highlights the interconnected nature of metabolism, immunity, and vascular function.

Crucial to real-world applicability, the study design mirrored long-term maintenance conditions, providing practical insights for clinicians. The sustainability of vascular improvements with continued exercise and pharmacological support affirms the need for ongoing adherence and monitoring. Moreover, the tolerability profile and patient-centered outcomes reported provide a realistic framework for incorporating such regimens in routine care.

This research not only emphasizes the potent vascular benefits tied to weight loss maintenance but also brings to light the nuanced biological effects of different modalities. The implications extend beyond cardiovascular disease prevention, touching on broader aspects of healthy aging and quality of life, as vascular health is integral to multiple organ systems. Hence, the S-LiTE trial’s findings hold substantial promise for shaping future clinical guidelines.

In the broader context of obesity treatment paradigms, these insights challenge the notion that weight loss alone is sufficient. Instead, they advocate for multidimensional interventions addressing vascular function and inflammation, which are crucial mediators of obesity-related morbidity. Such transformations in therapeutic strategies could pivot the field towards more personalized and mechanistically informed approaches.

While the study is robust, the authors acknowledge limitations including the homogeneity of the cohort and potential confounders inherent to lifestyle interventions. Future investigations are warranted to explore molecular signaling pathways in greater detail, diverse populations, and longer-term cardiovascular outcomes. Additionally, integrating imaging modalities and biomarker profiling could refine our understanding of treatment impacts at the microvascular level.

On a scientific and societal level, the S-LiTE trial represents a milestone in conceptualizing weight loss maintenance not simply as weight stabilization but as an active process with profound systemic effects. Public health strategies might evolve to promote combined regimens, potentially alleviating the healthcare burden posed by obesity-related vascular diseases. This research, therefore, stands at the confluence of basic science, clinical innovation, and health policy.

The findings from Sandsdal and colleagues’ work resonate with an emerging narrative in metabolic medicine: holistic, multimodal approaches yield superior benefits than isolated interventions. With obesity prevalence continuing to climb globally, translating these findings into accessible, scalable solutions remains both a challenge and an imperative. The S-LiTE trial ignites hope for more effective, durable solutions to one of the most pressing health crises of our time.

In summary, the S-LiTE trial reveals that exercise and liraglutide individually and synergistically improve vascular health and reduce inflammation during weight loss maintenance. This study offers compelling evidence for the inclusion of GLP-1 receptor agonists alongside structured exercise programs to sustain cardiovascular health in individuals maintaining weight loss. These innovative insights redefine obesity treatment and open new avenues for reducing the global burden of cardiovascular disease through integrated, targeted therapeutic strategies.


Subject of Research: Effects of exercise and GLP-1 receptor agonist liraglutide on vascular health and inflammation during weight loss maintenance.

Article Title: Effects of exercise and liraglutide on vascular health and inflammation during weight loss maintenance: a prespecified secondary analysis of the S-LiTE trial.

Article References:
Sandsdal, R.M., Holt, J., Alkhefagie, H.G.A. et al. Effects of exercise and liraglutide on vascular health and inflammation during weight loss maintenance: a prespecified secondary analysis of the S-LiTE trial. Nat Metab (2026). https://doi.org/10.1038/s42255-026-01554-4

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s42255-026-01554-4

EDB converges analytics on Postgres to support AI agents

23 June 2026 at 17:45

Separating transactional databases from analytical systems was, until recently, considered good architecture. Now, as enterprises adopt AI agents that continuously read, reason over, and act on business data, data warehouse and database vendors are increasingly deciding that separation has become a liability.

Just weeks after Databricks unveiled its Lakehouse Transaction and Analytical Processing (LTAP) offering based on Neon Postgres to bring operational (OLTP) and analytical (OLAP) processing closer together, EnterpriseDB (EDB) has introduced converged analytics capabilities for its managed EDB Postgres AI database service with the same intent.

Both vendors are responding to the same pressure of enabling AI agents for enterprises to operate on fresh operational data without waiting for pipelines and replicas, but EDB argues its approach starts from a fundamentally different place.

“Databricks is building from the lakehouse outward, trying to pull transactional capability in through Lakebase,” said Max Romanenko, chief engineering officer at EDB, while “we’re building from the operational layer with Postgres, which is where enterprises already run their most critical workloads, and expanding from there.”

In contrast to Databricks’ lakehouse-centric LTAP, EDB keeps Postgres as the operational source of truth and uses Apache Iceberg as a shared catalog layer connecting Postgres with ClickHouse, WarehousePG, and Spark compute engines, Romanenko said.

In this way, operational data remains in Postgres while historical and tiered data is stored in Iceberg-managed object storage, allowing analytical engines to query the same data through a common catalog without requiring separate copies or ETL pipelines, he said.

That architectural distinction matters to EDB, according to Romanenko, because the vendor is targeting enterprises that want AI and analytics capabilities without moving sensitive data into a cloud-managed platform: “For us, it’s always been about the data sitting on infrastructure the customer owns and controls.”

Focus on data sovereignty and predictable economics

EDB’s promotion of control “will resonate with CIOs focusing on sovereignty, regulated data, and hybrid deployment,” said Stephanie Walter, practice leader of AI stack at HyperFrame Research. “This should enable them to run AI and analytics closer to the data, on infrastructure that their enterprise controls, without creating yet another proprietary data estate.”

For Ashish Chaturvedi, leader of executive research at HFS Research, EDB’s approach in converged analytics will offer more predictable costs than Databricks LTAP for CIOs already struggling to manage their analytics and AI budgets.

EDB’s per-core pricing model can make costs easier to forecast than consumption-based cloud data platforms, where query volumes, AI workloads, and data processing demands can cause bills to fluctuate, Chaturvedi said.

But predictable bills are not necessarily lower bills, warned, Igor Ikonnikov, advisory fellow at Info-Tech Research Group. “The hardware requirements for high-speed operational data processing are higher and relatively more expensive compared to cheap lakehouse storage,” he said.

EDB’s architecture could also simplify data governance by reducing the number of platforms enterprises need to manage. Since operational, analytical, and AI workloads can access data through a common Postgres-Iceberg foundation, enterprises may be able to avoid deploying and governing multiple specialized data stores, and so have fewer systems to license and secure, according to Devin Pratt, research director at IDC.

Reducing architectural tax for engineering teams

EDB’s converged analytics could also simplify operations for developers and data engineering teams.

Its architecture reduces the number of systems developers must integrate and maintain, while eliminating much of the pipeline work traditionally required to move data between transactional and analytical systems, according to Walter.

And, said Pratt, “Zero-ETL means far less plumbing to build and break, so engineers spend their time creating value.”

EDB and Databricks are not the only ones pursuing converged analytics to support agentic systems and other applications needing immediate access to operational data, historical context, and governance controls.

Snowflake has been expanding support for operational workloads by embracing open table formats,and Microsoft has combined transactional and analytical services under a broader data architecture via its Fabric platform.

Evolution of autonomous databases?

Converged analytics, though, was only one part of EDB’s update to its Postgres AI platform.

It has also made generally available what it calls an “agentic database” feature, designed to automate routine database administration tasks.

The system continuously monitors hundreds of operational and performance metrics, detects anomalies, recommends corrective actions, and, where enterprise policies permit, can automatically apply fixes, the company said.

These automated agents can help enterprises optimize and tune their databases up to 10 times faster, it said.

Walter remained skeptical: “It is more an evolution of autonomous database concepts than a wholly new category. Oracle and other database vendors have offered autonomous database capabilities for years.” Where EDB can differentiate itself, she said, is in extending those autonomous capabilities with AI-driven reasoning, automated remediation, and governance controls that allow enterprises to determine how much authority the system receives.

New Nonsurgical Treatment May Bring Lasting Pain Relief for Knee Arthritis

21 June 2026 at 12:02

Knee osteoarthritis is one of the most common causes of pain and disability around the world. The condition develops when the tissues inside the knee joint gradually wear down over time. As the disease progresses, people often experience pain, stiffness, swelling, and difficulty walking, climbing stairs, or taking part in activities they once enjoyed. According […]

The post New Nonsurgical Treatment May Bring Lasting Pain Relief for Knee Arthritis appeared first on Knowridge Science Report.

Cutaneous Risks in Advanced Pediatric IBD Therapies

21 June 2026 at 04:27

In a groundbreaking study published in Pediatric Research, researchers have shed new light on the risk factors associated with cutaneous complications arising from advanced therapies in pediatric patients suffering from inflammatory bowel disease (IBD). This research is poised to revolutionize the way clinicians approach dermatological side effects linked to cutting-edge treatments, potentially transforming patient care and outcomes.

Pediatric inflammatory bowel disease, comprising Crohn’s disease and ulcerative colitis, has seen an upsurge in prevalence worldwide, presenting unique challenges due to its chronicity and systemic nature. Advanced therapies, including biologics and small molecule inhibitors, have significantly improved disease management, yet their use is not without adverse effects. Among these, skin complications have emerged as a concerning issue, sometimes compromising treatment adherence and quality of life for young patients.

This study meticulously analyzed a cohort of pediatric IBD patients undergoing advanced therapeutic regimens to identify predisposing factors for cutaneous side effects. The researchers employed a multidisciplinary approach, integrating clinical data with immunological and genetic profiling, to unravel the complex interplay leading to dermatological manifestations.

One of the pivotal findings highlighted the differential risk profiles between various classes of advanced therapies. For instance, tumor necrosis factor-alpha (TNF-α) inhibitors were more frequently associated with psoriasiform lesions, a paradoxical reaction where treatments aimed at immune suppression triggered immune hyperactivity in the skin. This paradox underscores the inherent complexity of immune modulation in pediatric patients.

Additionally, the investigation illuminated the role of individual patient factors such as genetic predispositions and baseline immune status. Specific polymorphisms in genes regulating cytokine production appeared to influence susceptibility to skin complications, revealing a potential avenue for personalized risk assessment before initiating therapy.

Environmental and lifestyle factors were also evaluated, revealing that patients exposed to certain external triggers, including ultraviolet radiation and specific microbiota profiles on the skin, manifested increased vulnerability to therapy-induced cutaneous conditions. These insights pave the way for adjunct preventive strategies alongside pharmacologic interventions.

The temporal dynamics of cutaneous adverse events emerged as another crucial aspect. Most skin complications manifested within the initial months of therapy commencement, emphasizing the need for vigilant dermatological monitoring during this critical window. However, late-onset reactions were not uncommon, suggesting that longitudinal follow-up remains essential throughout the treatment course.

The study further elucidated the pathogenic mechanisms underpinning these complications. Immune dysregulation triggered by therapy was shown to alter skin barrier function, promoting inflammatory cascades that translated into clinical manifestations. Understanding these pathways at a cellular and molecular level provides a framework for developing targeted therapeutics to mitigate side effects without compromising efficacy.

Importantly, the management strategies for cutaneous complications were explored. The researchers advocated for integrated care models involving dermatologists, gastroenterologists, and immunologists to tailor interventions. Topical therapies, dose adjustments, and, in some cases, switching to alternative agents were recommended based on severity and patient response.

This research also calls attention to the psychosocial impact of skin complications in pediatric IBD patients. Given the visibility of dermatological issues, children often experience emotional distress and stigma, highlighting the necessity for holistic care approaches that address both physical and mental health dimensions.

Moreover, the study underscores the potential of predictive biomarkers in clinical practice. By identifying patients at heightened risk, clinicians can preemptively adapt therapeutic regimens or introduce prophylactic measures, thereby reducing morbidity associated with cutaneous adverse events.

From a broader perspective, these findings resonate beyond pediatrics, offering insights applicable to adult IBD populations and other autoimmune conditions treated with similar modalities. The interplay between systemic immunity and cutaneous manifestations represents a fertile ground for future translational research.

In conclusion, the elaborate dissection of risk factors for cutaneous complications in pediatric IBD patients receiving advanced therapies marks a significant stride toward personalized medicine. As the therapeutic landscape evolves, integrating such nuanced knowledge will be crucial in optimizing outcomes and enhancing quality of life for young patients grappling with chronic inflammatory diseases.

This study not only deepens our understanding of adverse effects but also stimulates a paradigm shift in patient monitoring and management strategies. It advocates for a proactive approach, blending precision medicine with interdisciplinary collaboration, to navigate the complexities of advanced therapeutic interventions safely.

With inflammatory bowel disease continuing to impose a heavy burden on pediatric populations globally, these insights arrive at a timely juncture. They equip clinicians with evidence-based guidance to balance efficacy and safety, ensuring that advancements in treatment translate into tangible benefits without unintended harm.

The publication of this research invites further investigations into innovative solutions, such as novel drug formulations with reduced dermatological toxicity and development of comprehensive screening tools. As science progresses, the integration of immunogenetics, microbiome analysis, and environmental assessment promises to refine risk stratification models.

Ultimately, this work epitomizes the convergence of clinical acumen and scientific rigor, spotlighting the imperative to address all facets of patient health in the era of precision medicine. By illuminating the dermatological dimension of pediatric IBD therapy, it inspires a more empathetic, informed, and effective clinical practice moving forward.


Subject of Research: Risk factors for cutaneous complications associated with advanced therapies in pediatric inflammatory bowel disease patients.

Article Title: Risk factors for cutaneous complications of advanced therapies in paediatric inflammatory bowel disease patients.

Article References:
Kazeka, D., Zarubova, K., Copova, I. et al. Risk factors for cutaneous complications of advanced therapies in paediatric inflammatory bowel disease patients. Pediatr Res (2026). https://doi.org/10.1038/s41390-026-05195-x

Image Credits: AI Generated

DOI: 10.1038/s41390-026-05195-x

New Anti-Aging Discovery Could One Day Help People Avoid Knee Replacement Surgery

21 June 2026 at 00:46

Growing older often brings aches and pains, especially in the knees, hips, and other joints that carry the body’s weight. For many people, these problems are caused by osteoarthritis, a disease that slowly destroys cartilage. Cartilage acts like a natural cushion inside joints, allowing bones to move smoothly without friction. When cartilage breaks down, joints […]

The post New Anti-Aging Discovery Could One Day Help People Avoid Knee Replacement Surgery appeared first on Knowridge Science Report.

OpenAI adds spend controls and usage analytics to ChatGPT Enterprise

19 June 2026 at 14:59

OpenAI has introduced spend controls and enhanced usage analytics for ChatGPT Enterprise to enable organizations to monitor AI adoption, track consumption across teams, and set budgets for AI usage. But, analysts cautioned, it still can’t show how those costs lead to business benefits.

The new features provide administrators with centralized dashboards showing how ChatGPT is being used across an organization, enabling them to understand adoption patterns, and manage AI costs by setting budgets and tracking spending.

“The Global Admin Console brings ChatGPT and Codex credit usage into one view, so admins can see a more granular breakdown of credit consumption across users, products, and models — helping them understand where spend is coming from and how it maps to actual credit usage,” OpenAI said.

A shift toward AI cost governance

The introduction of budgeting and usage analytics reflects a broader change in enterprise priorities, according to Biswajeet Mahapatra, principal analyst at Forrester.

“Enterprises are clearly shifting from adoption-led enthusiasm to cost and value governance, but this is a natural maturity transition rather than a pullback,” Mahapatra said. “AI is no longer an adoption problem but a measurement and credibility problem, with productivity gains present but fragmented and hard to tie to financial outcomes.”

As AI expands across business units, spending becomes distributed across teams, tools and experiments, making visibility and governance increasingly important, he said.

“Budgeting, usage visibility and spend controls are therefore becoming foundational, not just operational concerns, as they enable alignment between technology usage and business outcomes,” Mahapatra added.

OpenAI is addressing those needs with its new dashboards and spending controls address, he said.

Agent sprawl will add to cost control challenges

Anushree Verma, senior director analyst at Gartner, said AI cost governance is becoming a focus for enterprises, as fragmented pricing models, vendor-defined consumption units and inconsistent pricing structures make it difficult for organizations to predict AI costs.

She expects the challenge to intensify over the next few years as enterprises scale up their use of AI.

“By 2028, an average global Fortune 500 enterprise will have over 150,000 agents in use, up from less than 15 in 2025, generating significant agent sprawl, IT complexity and management challenges,” she said.

Against that backdrop, OpenAI’s new administrative capabilities provide organizations with tools to monitor organizational usage and spending as AI deployments become larger and more distributed.

Measuring AI value beyond consumption

While OpenAI’s analytics emphasize adoption patterns and usage visibility, analysts say enterprises will ultimately need to connect AI consumption with business outcomes.

“Token consumption alone is insufficient because it measures activity rather than impact,” Mahapatra said.

Instead, organizations should evaluate AI initiatives using business metrics such as revenue growth, cost reduction and risk mitigation alongside operational indicators including productivity improvements and quality gains.

Verma said traditional cloud FinOps practices are also evolving to accommodate AI’s usage-based economics.

“Traditional FinOps practices were built around predictable, centralized cloud environments and are insufficient for handling unpredictable AI consumption metrics, such as token usage, LLM requests and GPU hours,” she said.

She added that real-time tracking is becoming increasingly important as multiagent systems scale, because misconfigurations can cause AI costs to rise rapidly across interconnected environments.

This article first appeared on CIO.

Mivo’s new app takes a mindful approach to managing screen time

18 June 2026 at 19:00
Notably, unlike other apps that might just try to pull you away from your phone, Mivo lets the user decide if they want to continue, encouraging users to become more aware of how and why they’re using it instead. 

Databricks targets AI operations bottlenecks with ZeroOps

18 June 2026 at 13:06

Databricks is pitching a fix for what it sees as the growing operations mess in enterprise AI. With the launch of Genie ZeroOps, unveiled at its Data + AI Summit, the company is targeting a problem many data teams know too well: it’s no longer building pipelines and models that hurts, it’s keeping them running.

As data estates sprawl and AI workloads multiply, engineering time is increasingly eaten up by maintenance. Meanwhile, AI coding tools are accelerating development, churning out even more assets that need oversight, widening the gap between how fast teams can build and how much they have to manage.

Databricks Genie ZeroOps is a new agentic operations capability that is designed to automate the monitoring, investigation, and remediation of issues across data and AI workloads.

Currently in private preview, ZeroOps uses an AI agent to identify anomalies, trace root causes using metadata and lineage information via Unity Catalog, generate proposed fixes, and then test those fixes in an isolated environment before pushing them out for human review to be applied in production.

Targeting real operational complexity?

Genie ZeroOps addresses a legitimate enterprise challenge around operational complexity, particularly the growing burden of maintaining data and AI workloads in production, analysts say.

“Most data teams spend more time keeping pipelines and models alive than building new ones,” said Amit Chandak, chief analytics officer at IT consulting firm Kanerika.

Echoing Chandak, independent consultant David Linthicum said enterprises continue to grapple with deployment drift, incident response, compliance checks, and root-cause analysis across increasingly fragmented data and AI estates.

Those challenges, echoed Victor Coimbra, CTO of IT consulting firm Artefact, are compounded by the emergence of agentic coding tools that accelerate the development of assets, such as machine learning pipelines and models that need “babysitting.”

That maintenance burden carries a significant productivity cost, said Robert Kramer, managing partner at KramerERP, noting that activities such as managing infrastructure, deployment environments, support processes, and operational workflows consume time without directly creating business value.

Those productivity drains, according to Coimbra, have proven difficult to eliminate despite the emergence and widespread adoption of automated observability and governance tools.

“What is different here is the agentic piece. Databricks is trying to move from tools that alert humans to systems that diagnose issues, propose fixes, and validate them in a governed environment without breaking anything in production,” echoed Stephanie Walter, practice leader of AI stack at HyperFRAME Research.

Shifting the role of platform teams

That shift, according to analysts, could change the way most enterprise platforms and development teams work currently.

“Skilled engineers spend the majority of their time on toil. If the ZeroOps agent, in the background, handles monitoring, investigation, and fix-proposal, engineers shift from doing the operational work to reviewing it. The traditional split between ‘people who build’ and ‘people who keep things running’ starts to blur,” said Ashish Chaturvedi, leader of executive research at HFS Research.

“Additionally, this would also mean that platform teams (engineers responsible for maintenance) can focus on genuinely novel failures rather than the repetitive ones,” Chaturvedi added.

The shift, according to Coimbra, could also affect how enterprises scale platform teams: “They can stop hiring operations staff in lockstep with every new pipeline. The same team can cover a lot more.”

Given that the capability is still in preview, Kanerika’s Chandak pointed out that the headcount reduction claims may be overstated.

ZeroOps could instead pose the risk of “skill atrophy,” Chandak said.

“If engineers stop debugging because the agent does it, the team’s ability to handle the cases the agent cannot handle becomes a real exposure,” Coimbra added.

What ZeroOps could mean for CIOs

Genie ZeroOps could be attractive to CIOs because it links innovation capacity with operational discipline rather than forcing a tradeoff between the two, Linthicum said.

“The appeal is straightforward: reduce operational drag, shorten deployment cycles, improve service resilience, and enforce governance without scaling headcount at the same rate as workloads,” Linthicum said.

That combination of efficiency and reliability could help CIOs rein in one of the biggest costs associated with operating data and AI environments, Chaturvedi said. “ZeroOps attacks time spent on maintenance. CIOs have watched their data engineering budgets balloon while the proportion of that spend going to net-new value shrinks.”

Linthicum warned that CIOs should consider the new offering with calculated skepticism and seek metrics to validate Databricks’ claims.

“The headline metrics are mean time to detect and mean time to resolve, plus the share of incidents the agent closes without a human stepping in. Those tell you whether it is actually removing the operational complexities that it promises,” Kanerika’s Chandak echoed.

“Underneath these metrics, CIOs should track the accuracy of their root cause calls, the false positive rate on proposed fixes, and the proportion of fixes engineers approve without editing, because that last number is the real trust signal. On cost, they should measure cost per incident handled against the human baseline, net of agent compute,” Chandak added.

That scrutiny, Chandak further added, is even more important for CIOs because Databricks is entering an emerging category.

“Most vendor agent announcements target the build and use layers, helping people write code or ask questions of their data. ZeroOps targets the operate layer, which is less crowded,” Chandak said.

ENDS

Judge signals AI recruitment tool vendors like Workday may not escape liability for discrimination

18 June 2026 at 02:21

A federal judge has rebuffed Workday’s claim that it cannot be held liable under California anti-discrimination laws when its tools are used to screen (and potentially reject) job candidates in other states.

This week, US District Judge Rita Lin indicated that she will likely allow additional state discrimination claims against Workday to move forward. This would significantly expand the closely-watched case and likely ratchet up scrutiny of AI recruiting tools and their potentially inherent biases when it comes to age, race, sex, disabilities, and other factors.

Further, it could indicate that, even if a company is not the final employer, it may be held liable if its tools materially influence who gets rejected. This could set new legal standards for AI hiring systems, and have implications across industries, experts note.

“This case reinforces the importance of actually managing AI risks,” said Valence Howden, advisory fellow at Info-Tech Research Group. “If an AI-enabled model or ATS [Applicant Tracking System] is making decisions based on historical information, it can raise questions about whether bias in outcomes and datasets has been properly addressed.”

The case so far

Mobley v. Workday, Inc. alleges that Workday’s AI screening tools discriminate against job seekers based on age, race, and disability. The suit was filed in 2024 in the US District Court of California by Derek Mobley, a Black disabled man over 40, who claimed Workday’s algorithms continually screened him out as he applied for more than 100 positions on the platform.

The claims alleged discrimination prohibited by several US and California statutes: Race and sex under the Civil Rights Act of 1964 (Title VII); disability under the Americans with Disabilities Act of 1990 (ADA); age under the Age Discrimination in Employment Act of 1967 (ADEA); and race, gender, and age under California Fair Employment and Housing Act (FEHA).

Specifically, the suit centered around Workday’s use of automated, algorithm-driven tools for applicant screening. It alleged that these systems rely on historical data and statistical modeling that can make them susceptible to existing biases, even if protected characteristics like race, age, sex, or disability are not explicitly provided.

Bias may enter these systems in different ways, the plaintiffs argued, including via training data, model design, and evaluation criteria for candidate fit. The system could reproduce discriminatory outcomes by making correlations from data. For instance, years of experience on a resumé may indicate age; long employment gaps may infer a disability or caregiving responsibilities; educational and institutional affiliations could reflect race.

Workday has argued that it is not subject to liability under employment statutes because it does not qualify as the job applicants’ “employer.” But federal judges have allowed key parts of the lawsuit to move forward, ruling that Workday could potentially be treated as an employer’s “agent” for the purposes of anti-discrimination law.

The latest dispute centers on FEHA. According to legal sources, the California statute is among the strongest anti-discrimination laws in the US, in many cases providing broader protections than federal employment laws.

Workday asked the court to dismiss claims brought under California law, saying FEHA should not apply to the hiring decisions of out-of-state employers and applicants. The company’s lawyers argued that enforcing this would effectively allow California law to supersede that of other states, just because a company used their platform.

But Lin disagreed, saying FEHA does apply, and in fact, Workday is directly liable for its “own engagement in FEHA-regulated activities on the employer’s behalf.” Holding businesses liable for “their own discriminatory conduct” is within the scope and purposes of FEHA and consistent with public policy.

However, the issue is still to be decided; Lin did not indicate when she would release a final ruling.

Workday’s defense

A Workday spokesperson called the claims in the suit “false.”

“Workday’s AI recruiting tools don’t make hiring decisions and are designed with human oversight at their core,” the spokesperson told CIO. “Our technology looks only at job qualifications, not protected traits like race, age, or disability. We rigorously test our products as part of our responsible AI program to confirm our tools do not harm protected groups.”

Workday’s platform is meant to provide insights on how well a candidate’s qualifications match the requirements of a posted job, the company said. Those tools focus only on qualifications listed in a candidate’s application, which are compared to qualifications identified by the employer as important for the job.

Workday’s Chief Responsible AI Officer Kelly Trindel said its AI does not make employment decisions, automatically reject candidates, or determine who gets a job; further, she said, there is no evidence that the company’s tools result in harm to protected groups.

Trindel, who is former chief analyst of the Equal Employment Opportunity Commission (EEOC), leads a dedicated team composed of psychologists and PhD-level data scientists whose sole focus is to ensure that its AI is “responsible, fair, and ethical.” She said that the company’s AI systems undergo ongoing reviews throughout their lifecycle to help prevent unintended consequences, and Workday is “committed to accountability, transparency, and trust,” and invests “significant resources” into identifying and mitigating bias.

Further, she said, Workday has a company-wide commitment to ethical AI, and an independently-evaluated AI governance program based on standards from the National Institute of Standards and Technology (NIST) and the International Standards Organization (ISO).

“Workday builds AI to support people, not replace them, and this is of particular importance when it comes to hiring,” Trindel noted. Its platform is designed to help employers “manage high-volume processes more efficiently, surface relevant information, and reduce administrative work so teams can spend more time applying their expertise and judgement to hiring decisions.”

What this means for enterprise leaders

Workday isn’t alone in its legal challenges; other AI hiring tools are also being scrutinized over their methodologies, algorithms, and data-collecting practices. Eightfold, for one, is also facing a California class action lawsuit alleging that its tools unfairly rely on job candidates’ online data to predict whether they’d be a good fit for a position.

This means that enterprises, who are already feeling increased pressure to document hiring decisions, conduct AI bias audits, and maintain human oversight in recruitment and hiring, must be even more diligent in their vetting of AI tools.

Organizations must be actively defining how these recruitment tools should work, identifying bias in their algorithms, and setting up structures to test for bias across the tools’ decision-making logic, Info-Tech’s Howden advised.

“Validation of non-biased outcomes also needs to be active and ongoing, rather than a point-in-time exercise,” he said.

While Workday and others say human oversight is paramount, “it’s hard to incorporate humans into the process if the platform does the weeding out before humans have the ability to intervene,” Howden pointed out.

Discriminatory biases can exist in past hiring decisions, so it’s easy to forget that AI can “emulate and adapt those biases as part of its perspective,” he said. That includes how AI looks at language: Different cultures use different phrasing, and AI can capture that and use it to exclude candidates.

Ultimately, he called the case a “cautionary tale” illustrating how lightly some organizations have been treating AI risk. It also highlights the urgency involved in building out more advanced enterprise risk practices, “rather than relying on the limited capabilities they may have employed up until now.”

This article originally appeared on CIO.com.

Scientists Awarded $4 Million to Enhance Endangered Species Management on Military Lands

17 June 2026 at 23:14

Across the expansive military installations of the United States, where substantial tracts of restricted-access natural lands persist, an evolving challenge has taken shape: how to effectively conserve endangered species amid overlapping and often conflicting recovery plans. These lands, which serve dual purposes of defense readiness and environmental stewardship, present a unique ecological puzzle. Amid this complexity, researchers at Virginia Tech’s College of Natural Resources and Environment have embarked on pioneering projects funded by two $2 million grants, aiming to redefine conservation strategies on military properties by emphasizing ecosystem-wide management rather than isolated species-specific interventions.

Historically, wildlife management on military bases has heavily relied on individual species’ recovery plans, a methodology that becomes problematic when multiple endangered species inhabit the same territory. Each species’ plan often prescribes distinct conservation actions, potentially leading to redundant efforts, increased management complexity, and sometimes conflicting directives. Recognizing these inefficiencies, the Virginia Tech research initiative seeks to develop integrated strategies that optimize land management actions to benefit diverse species assemblages simultaneously. This integrative approach has the potential not only to streamline operational practices on military lands but also to serve as a scalable model for ecosystems worldwide grappling with multifaceted conservation demands.

One cornerstone of this research is led by Assistant Professor Elizabeth Hunter, who operates within the U.S. Geological Survey’s Virginia Cooperative Fish and Wildlife Research Unit. Hunter’s project area in southeastern Georgia—including large military bases characterized by fire-managed ecosystems—examines the application of prescribed burning as a habitat management tool. Prescribed fire has traditionally been tailored around a handful of focal species, such as the red-cockaded woodpecker, leaving many other species with differing ecological needs inadequately addressed. Hunter’s work challenges this paradigm by employing cutting-edge monitoring technologies to survey a wide spectrum of taxa, from avian and mammalian species to amphibians, reptiles, insects, and crucial pollinators, aiming to capture a comprehensive biological response to various fire regimes.

By integrating extensive biodiversity data into a sophisticated multi-objective optimization framework, Hunter’s team can evaluate how different prescribed burning strategies affect numerous species simultaneously. This analytical tool allows for the assessment of trade-offs and synergies in conservation outcomes, addressing complex ecological interactions. The methodology asks crucial questions such as whether it is possible to adjust burn frequency, intensity, and spatial patterns to enhance habitats for multiple species concurrently. Such questions are vital for military land managers, who must balance ecosystem health with operational imperatives. Collaborations with organizations like the Orianne Society and the National Council for Air and Stream Improvement anchor this work in both academic and applied conservation contexts.

Parallel to Hunter’s fire ecology focus, Associate Professor Haldre Rogers directs research tackling the inefficiencies inherent in the current species-by-species recovery plan framework under the U.S. Endangered Species Act. Rogers’ project, focused on the Marianas Islands, explores whether ecosystem-wide habitat management can serve as an effective surrogate for the management of multiple individually listed species. Given that military lands often harbor dozens of endangered species with overlapping but separate recovery plans, the question arises: can habitat proxies be identified that allow for effective ecosystem-level conservation without the cumbersome requirement of separate interventions and monitoring for each species?

Rogers utilizes innovative ecosystem hypergraph modeling to encapsulate the intricate web of species interactions, habitat connectivity, and life-history traits, thereby identifying clusters of species that might respond similarly to shared management actions. This approach strives to uncover ecological congruencies and potential conflicts, aiming to inform management choices that maximize conservation benefits while minimizing inadvertent harm to co-occurring species. The project acknowledges inevitable ecological trade-offs but aspires to equip land managers with a landscape-scale understanding that promotes more efficient and informed decision-making.

The ecological importance of military installations in the United States cannot be overstated. Many contain well-preserved habitats that have been safeguarded from urban development, offering refugia for imperiled species. Activities such as prescribed burning and restricted access have inadvertently preserved biodiversity hotspots. At the same time, these installations must fulfill critical defense and training missions, underscoring the need for a delicate balance between operational readiness and environmental stewardship. The innovations proposed by Hunter, Rogers, and their teams promise a new frontier in reconciling these dual mandates through science-driven, scalable conservation models.

Their research partnership traverses multiple disciplines and institutions, spanning Virginia Tech’s Department of Fish and Wildlife Conservation and Statistics, collaborations with Rice University, Brown University, MIT, and contributions from postdoctoral scholars. This transdisciplinary approach enriches the projects with a fusion of ecological expertise, advanced computational modeling, and applied management perspectives. By leveraging emerging technologies and sophisticated analytical tools, these projects are poised to generate transformative insights relevant to conservation practitioners, policymakers, and military land managers alike.

In essence, these Virginia Tech-led studies embody a paradigm shift: transitioning from fragmented, species-specific management plans to holistic ecosystem-based strategies is both a necessity and an opportunity. This shift acknowledges the complex interdependencies among species and their habitats, calling for innovative methodologies that embrace ecological complexity rather than oversimplify it. For military lands, where the intersection of conservation and operational use is most pronounced, such research can catalyze both more effective biodiversity protection and enhanced land-use efficiency.

By integrating large-scale biological monitoring with computational optimization and ecosystem modeling, this research presents a robust framework for addressing the mounting challenges of endangered species management amid competing land uses. The implications extend far beyond military properties, offering a strategic blueprint adaptable to diverse ecosystems facing overlapping conservation mandates. The collective efforts spearheaded by Hunter and Rogers represent a significant leap forward in safeguarding the nation’s biological heritage through science-guided stewardship, setting the stage for broader applications in the global conservation community.

As endangered species faces continue to escalate globally, the insights arising from military installation ecosystems can inform best practices worldwide. The integration of multi-species data into management decisions, the recognition of ecosystem processes over isolated species needs, and the embracing of technological and analytical innovation underscore the future of conservation science. In a world of finite conservation resources and competing priorities, finding operationally feasible yet ecologically sound approaches is paramount.

These projects, supported by the Strategic Environmental Research and Development Program, exemplify such an approach, bridging theoretical science and practical land management. Their success will not only enhance the resilience of endangered species populations on military lands but also serve as a clarion call to redefine conservation paradigms universally. Ultimately, their work invites a transformative dialogue around how humanity navigates the complex stewardship of nature amid modern societal demands.


Subject of Research:
Endangered species management on military lands through ecosystem-based strategies and multi-species conservation optimization.

Article Title:
Rethinking Conservation: Integrated Ecosystem Management for Endangered Species on Military Installations

News Publication Date:
Not provided

Web References:

Image Credits:
Photo courtesy of Elizabeth Hunter.

Keywords:
Endangered species, Extinction, Wildlife management, Conservation biology, Ecosystem management, Prescribed fire, Habitat connectivity, Multi-species optimization, Military land conservation, Ecosystem hypergraphs.

Pinpointing Precision: Tailoring Therapies for Aggressive Asbestos-Related Cancer

17 June 2026 at 19:27

A groundbreaking clinical trial is underway at Leicester, spearheaded by leading researchers aiming to revolutionize treatment options for patients afflicted with mesothelioma, a particularly rare yet aggressive form of cancer. This innovative research offers a glimmer of hope to those affected, potentially extending their survival and enhancing quality of life by tailoring therapies to individual genetic profiles.

Mesothelioma arises predominantly in the linings of the lungs or abdomen and is intimately connected to asbestos exposure, a factor that has rendered this malignancy notoriously difficult to treat. Despite approximately 2,700 new diagnoses annually in the UK, prognosis remains grim, with survival rates and available treatment strategies offering limited success. Traditional therapies fail to adequately address the biological heterogeneity of this cancer, underscoring the urgent need for novel, personalized interventions.

Central to this trial, known as SELECTmeso1, is the use of targeted cancer therapies designed to exploit specific genetic vulnerabilities within tumor cells. This approach addresses the problem of variable treatment efficacy by stratifying patients based on identifiable genetic biomarkers, thus aligning therapeutic strategies with the molecular underpinnings of each patient’s disease. Trials like SELECTmeso1 embody the forefront of precision oncology, promising more effective and less toxic interventions.

The project is a collaboration between esteemed institutions including the NIHR Biomedical Research Centres in Leicester and Southampton, with the Southampton Clinical Trials Unit managing operations and oversight. Backed financially by Asthma + Lung UK, this research initiative emphasizes the growing recognition within the medical community of the importance of precision medicine in oncology, especially for diseases with limited therapeutic options like mesothelioma.

Professor Dean Fennell, Chair of Thoracic Medical Oncology at the University of Leicester and lead investigator, highlights the crux of the personalized treatment paradigm: understanding the cancer’s unique genetic landscape. Nearly 50% of mesothelioma patients exhibit a deletion of the MTAP gene, a genetic anomaly that is intricately linked with more aggressive tumor behavior and resistance to conventional therapies. This genetic deletion simultaneously presents a distinctive therapeutic target.

The trial focuses on exploiting the absence of the MTAP gene to disrupt the cancer cells’ growth machinery selectively. In healthy cells, the MTAP gene is involved in critical metabolic pathways, but its deletion in cancer cells creates a biochemical dependency that can be targeted pharmacologically. The investigational drug, Navlimetostat (also referenced as BMS-986504), developed by pharmaceutical giant Bristol Myers Squibb, is a first-in-class PRMT5 inhibitor designed to exploit this metabolic vulnerability, thereby selectively inducing cancer cell death while sparing healthy tissue.

Navlimetostat operates by inhibiting protein arginine methyltransferase 5 (PRMT5), an enzyme crucial to the survival of cancer cells deficient in MTAP. By blocking PRMT5, Navlimetostat disrupts methylation-dependent processes vital to tumor cell proliferation and survival, effectively ‘starving’ the cancer at a molecular level. Early phase studies in other malignancies have shown promising anti-tumor activity and manageable safety profiles, laying a robust foundation for its evaluation in mesothelioma.

The SELECTmeso1 phase of the trial recruits patients with relapsed mesothelioma who test positive for the MTAP gene deletion. The trial administers Navlimetostat orally in three-week cycles, continuing up to six months. Researchers monitor both tumor response and patient tolerance meticulously, aiming to affirm the drug’s efficacy and safety within this highly specific patient subgroup.

This trial represents the initial stage of a larger adaptive platform study intending to evaluate multiple targeted agents against various genetic biomarkers across the spectrum of mesothelioma cases. By adopting a platform model, SELECTmeso aims to streamline clinical investigation, allowing simultaneous testing of several therapeutic candidates tailored to genetic signatures in patients’ tumors, thereby accelerating the pace of discovery and clinical translation.

Looking to the future, the platform design will incorporate molecular profiling of tumor samples to guide patient enrollment across sub-trials, each exploring a drug matched to a distinct biomarker. Such precision trials could transform the clinical landscape, enabling oncologists to offer bespoke therapies with improved outcomes versus the current ‘one-size-fits-all’ approach. Through this strategy, SELECTmeso1 pioneers a new chapter in mesothelioma treatment.

Dr. Samantha Walker of Asthma + Lung UK emphasizes the transformative potential of this research, especially given the dismal survival statistics and lack of curative options for mesothelioma patients. The advancement of targeted therapies has altered the natural history of multiple cancers, and the hope is that SELECTmeso1 will similarly deliver breakthroughs for this challenging disease, ultimately informing standard clinical practice worldwide.

The trial has already commenced recruitment at Leicester Royal Infirmary and will expand to ten additional UK hospitals, enrolling up to 30 patients for this initial evaluation. If successful, this could lay the groundwork for larger, practice-changing trials and establish a template for personalized cancer treatment paradigms not only for mesothelioma but also for other malignancies characterized by genetic heterogeneity.

In sum, the SELECTmeso1 trial exemplifies the cutting-edge intersection of genomics and oncology, demonstrating how understanding cancer’s molecular vulnerabilities can inform smarter, targeted treatments. It embodies the hope and progress achievable through collaborative research, innovative drug design, and precision medicine to improve survival and quality of life for patients facing devastating diagnoses.


Subject of Research: People

Article Title: Personalized Targeted Therapy Trial for Mesothelioma Opens New Frontiers in Cancer Treatment

News Publication Date: Not explicitly stated in source content

Web References:

References:
Cancer Research UK statistics on mesothelioma incidence and survival
Details of Navlimetostat (BMS-986504) as a first-in-class PRMT5 inhibitor by Bristol Myers Squibb

Image Credits: University of Leicester

Keywords: Mesothelioma, Targeted therapy, Personalized medicine, MTAP gene deletion, Navlimetostat, PRMT5 inhibitor, Clinical trial, Cancer research, Genetic biomarkers, Precision oncology, Cancer treatment, Drug development

Jamf CEO: ‘AI is happening whether organizations know it or not’

17 June 2026 at 17:22

Beth Tschida, who became Jamf CEO in May after serving as CTO and as interim CEO, is the first woman to lead the company in its near 25-year history. I spoke with her this week at the London Jamf Nation event, where the company introduced its new AI Governance solution.

How the transition to CEO is going 

“It’s been a great privilege and an adjustment,” she said. “Jamf has always been a company deeply focused on culture, which is exactly why I love being here. Having the ability to influence and improve that culture from this role is something I feel very supported in doing.”

The last few years have seen a variety of changes at Jamf, which was briefly a public company. “We’ve come through a period of change, not all of it easy,” Tschida said. “But we now have a great partnership with Francisco Partners. We’re private, we’re focused on solving customer problems, and we’re finding ways to lean into what we’re good at.”

Women in tech and mentorship

Tschida is a good choice to lead a software engineering company, as she’s an engineer herself. She originally joined Jamf as vice president for software engineering in 2018, moving up to CTO in 2022. She’s also one of the few women in leadership positions in tech. (To Jamf’s credit, the company also has CIO Linh Lam on its team.)

“I think it’s important for women to stay deep in the tech, build their skills and find their voice confidently,” Tschida said. “You’ll never know all the technology out there. Nobody does. What matters is the ability to keep adapting and evolving.”

Tschida stressed the importance of mentorship. “I feel very honored to have a chance to be a role model for other women,” she said. “I had women who forged a path for me, including a female CIO early in my career who I asked to mentor me and learned an enormous amount from. I’m certainly not the first woman in tech, but I do want to play my part in helping others grow in their careers.

“Ultimately, I want to be respected for what I do, not for my gender. That’s how everyone should be judged.”

AI Governance

Tschida’s product focus means she knows what matters to Jamf. “If you focus on the problems customers have and how your product can help fix them, that’ll take you to where you want to go.”

For many in the enterprise, both in and beyond the Apple space, the next big problem is AI — how to deploy it, how to manage it, and how to regulate it.

AI Governance is a new Jamf solution that has been developed in response to those pain points. Countless surveys, including Jamf’s own data, show that AI is being widely used across every company, but IT lacks visibility into its use. It’s hard to know what data is being shared with AI tools, which services are being used, and how to report on that use effectively — particularly in regulated industries.

AI Governance is designed to make it possible for anyone managing an Apple fleet to get granular insight into AI use across their Mac, iPhone, and iPad devices. It uses telemetrics to shed light on that use, offers governance and management tools to help IT gain better oversight and control over it, and provides highly comprehensive reporting tools suitable for internal or regulatory review.

“AI is happening whether organizations know it or not,” said Tschida. “That’s the problem. You can try to block it, but that’s very hard to do well. It’s far better to build visibility and governance around it.”

The offering makes it possible for companies to enable the AI use they already know is taking place while protecting corporate interests and enabling fast and accurate reporting. You can find out more details here.

Empowering better AI

Jamf’s approach is focused on endpoint management. AI Governance means IT can see what’s running on a device, categorize it, and understand what AI tools and models are in use. “If you know how people are running AI on your fleet, you can open it up safely. Then all of your customers and employees can find their way to figure out how AI is going to optimize their workforce,” she said.

What does that look like in practice? Think of it as an orchestration layer. IT can define different AI configurations for different teams: HR might use one set of models, engineers another. And admins can apply opinionated postures per group: what models are permitted, what cloud services they connect to, what’s visible to IT versus the CISO versus the CFO. “It’s an extension of what Jamf has always done, it just now applies to AI endpoints too.”

What about regulatory complexity across geographies? “A lot of governance controls are shared across regulations; a good base set is a healthy way to run regardless. But each regulation has its own twists. Our mission is to make sure customers operating in different markets can expand on that base and fit the specific models and regulations they need, getting the right configurations to the right devices.”

Managers must prepare for AI cost challenges

There’s a second dimension beyond management — cost. The industry is developing quickly, with new AI models appearing almost every week. Yesterday’s leading LLM is tomorrow’s fading star, even while the cost of AI infrastructure goes through the roof. As that churn slows, investors will want to start seeing returns on their bets, which is why token costs — the price of running AI services, at least in the cloud — are climbing fast.  

As costs become more realistic, that’s going to change the nature of AI deployment from the laissez-faire, anything goes approach to a more strategic management of such use. “Models keep dropping fast, but token costs are only going to go up,” said Tschida.

“Organizations will need to decide: just because you can build something with AI, should you? What’s the right model for what work? We’re helping customers move from, ‘We’ll just block it’ or ‘We’ll turn it on and hope for the best,’ toward a place where they have a real viewpoint and can manage and change that viewpoint over time.”

The ever-changing AI world is also prompting Jamf to make more of its APIs externally available. “We’re used across every industry and every geography, at every scale,” said Tschida. “There’s no way we can build every workflow every customer needs, we’d never get to all of them.”

Embracing openness also helps build future foundations. “Thinking about where we’re heading next — agentic endpoint management — having platform APIs allows our customers to build things they can imagine, that we can learn from, in a way that solves their specific problems.”

Apple, WWDC, and the enterprise

Tschida’s comments come shortly after WWDC 2026, where Apple introduced a raft of AI advances that formed a strong foundation for its future, improvements that matter to Jamf. “When Apple innovates, Jamf celebrates,” she said.

“Apple is doing great things in their AI ecosystem, revamping Siri, expanding their AI capabilities, making Apple the platform people want to run AI on because those machines simply perform better. Our job is to take what Apple builds and bring it into the enterprise in the way that enterprises actually need it.”

Most of the industry recognizes that Apple’s enterprise story has changed dramatically as its products see accelerating use, and momentum is not slowing. Tschida reflected on how just a few years ago, Apple in the enterprise was an option in employee choice programs. “Now it’s becoming the clear choice,” she said. “We expect that trend to continue. And the more Apple invests in AI running natively on device, the stronger that argument gets.”

Where is Jamf going?

AI Governance is a unique answer to an increasingly important set of questions that are now beginning to affect the IT management of Apple’s platforms. (It’s not clear whether anything as sophisticated exists for other platforms at al, but as the need to manage AI grows, demand for such solutions will grow.)

Ultimately, the company’s latest move reflects Jamf’s inherent strategy under its new CEO. “Focus on customers, listen to them, solve their problems, and don’t throw tech at it. Ask: what’s the problem? Can we solve it? That focus is what takes you where you need to go.

“We’re on a good trajectory, customers stay with us, and the culture has always underpinned us. Now we’re finding ways to lean into it even further,” she said.

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Estonia plans government IDs giving AI agents rights and responsibilities

17 June 2026 at 15:45

There’s no shortage of agentic AI tools out there that offer to perform online tasks on your behalf, if only you’ll give them all your passwords and credit card details. The trouble starts when those agents don’t know when to stop — or when others don’t know to stop them.

In Estonia, the country’s AI Council has plans to change that, proposing to issue government-backed digital identities for AI agents that spell out what powers a person or company is willing to delegate to them.

“In the future, AI will increasingly perform digital operations on behalf of a person, company, or institution,” said Estonian Prime Minister Kristen Michal in a news release. “To do this, it must be clear who is acting, on whose behalf, with what rights, and who is responsible.”

He supported the AI Council’s proposal to create a digital identity for AI agents that will define agents’ rights and enable them to act in a verifiable and auditable manner.

The ID could, the council suggests, show whether an agent is only allowed to view data, create or edit documents, or make payments, and if so, up to what limit.

First mover advantage

There’s no telling when the plan will come to fruition — although Michal is keen for his country to take the lead.

“If we act quickly and wisely, Estonia will become the first country in the world to create an official digital identity for AI agents,” he said.

Estonia is already a leader in the use of digital identities for humans. Estonians can use their national digital ID cards for voting, signing documents, accessing medical and tax records. The country also offers foreigners the option of applying for “e-residency,” a digital identity enabling them to create a company in Estonia and digitally sign all related documents online as they interact with the country’s widely digitized administrative processes.

Michal created the AI Council in January, calling on Estonian startups, investment funds, industry and research institutions to systematically implement AI across the country’s industry, education, healthcare, and energy sectors.

AI vendors have already proposed creating digital identities for agents, but so far these are intended only to manage the activities of agents within the enterprise, or for interconnecting enterprise IT platforms, and none of them have the backing of governments.

Estonia’s proposal could put the tiny Baltic country at the cutting edge of agentic AI usage and set an example for others.

From RAG to ontology: Databricks bets on context as the key to trusted AI agents

17 June 2026 at 11:48

First came vector databases, then RAG. Now, the next frontier in enterprise AI is taking shape: context layers that give autonomous agents a shared understanding of the business, a vision Databricks is advancing with Genie Ontology.

Currently in preview, Genie Ontology automatically extracts business context from enterprise data, dashboards, queries, pipelines, documents, and applications and organizes it into a living graph that AI agents can use to understand how an organization operates.

Showcased at the company’s Data + AI Summit, Genie Ontology uses a ranking system inspired by Google’s PageRank to identify the most authoritative business definitions within an organization.

Rather than treating all sources equally, it weighs factors including who created the information, how widely it is used, its links to certified datasets and assets, and how recently it was updated before determining which answer an AI agent should rely on, Databricks CEO Ali Ghodsi said during his keynote late on Tuesday while explaining the new offering.

Organizations can also upload their own business definitions or ontologies to Genie Ontology via Databricks’ existing Unity Catalog Semantics platform, Ghodsi added.

Ontology promises consistency, but readiness remains a hurdle

For CIOs, a unified context layer, such as Genie Ontology, will materially improve consistency, trust, and governance for enterprise AI deployments, according to analysts.

“One definition feeding every agent means you stop getting three different answers to the same question,” said Michael Leone, principal analyst at Moor Insights and Strategy.

“Older approaches, such as RAG and vector search, just pull back whatever looks similar to your question, and they don’t actually understand your business. An ontology gives the agent the meaning a catalog can’t, what your terms mean, and which source to trust,” Leone added.

That improvement in consistency, according to Ashish Chaturvedi, leader of executive research at HFS Research, could also improve trust, which remains one of the most critical barriers to AI adoption.

“The single biggest barrier to enterprise AI adoption is that decision-makers don’t trust AI outputs enough to act on them without checking. An ontology that grounds answers in governed business definitions, with lineage back to source, directly attacks that trust deficit,” Chaturvedi said.

Alternatively, Leone was more cautious about the trust argument: “It’s a promising idea, but it still has to prove itself before I’d lean on it for anything that matters.”

Echoing Leone, HyperFRAME Research’s practice leader of AI stack Stephanie Walter pointed out that ontologies have a missing link, and that is verification: “Ontologies can improve context, but they do not guarantee the answer is correct. An agent can still pull incomplete data, apply the wrong logic, skip rows, misunderstand a workflow, or take the wrong action.”

That verification gap becomes even more critical, according to Leone, because most enterprises don’t have the data and governance readiness required to implement an ontology layer for AI deployments: “If your data and governance aren’t already in order, this just speeds up your existing mess.”

Seconding Leone, Walter pointed out that an ontology cannot fix messy definitions, poor lineage, weak ownership, or fragmented permissions on its own.

Additionally, the analyst pointed out that the hard part for CIOs is not creating an ontology once but keeping it accurate as the business changes: “Enterprises will need clear data ownership, metric ownership, domain expertise, governance processes, and a way to resolve conflicting definitions.”

“Otherwise, the ontology becomes another stale metadata project with a more sophisticated name,” Walter added.

A growing risk of CIO confusion

Beyond data and governance readiness, CIOs also face a growing risk of confusion in the wake of several technology vendors pursuing approaches, similar to Genie Ontology, to ground enterprise AI in a business context, according to analysts.

Over the past year, Snowflake, Microsoft, and others have introduced some form of ontology, semantic, and context-layer offerings, but the problem is in how these offerings are named, Leone said.

“Everyone slapped a different name on basically the same idea. It slows people down as it creates confusion,” Leone noted.

That confusion could also backfire on Databricks and other vendors, according to Bhupendra Chopra, cofounder and CRO of IT consulting firm Kanerika: “While the marketing has converged around context-building offerings, most enterprises will choose the platform where their data already resides.”

HFS Research’s Chaturvedi doubled down on that view, saying CIOs should resist evaluating ontology offerings in isolation and asked them to stick to the mantra of context layer follows data gravity: “If your data lives in Databricks, Genie Ontology is your path. If it’s in Snowflake, Horizon Context is. If you’re a Microsoft shop, the IQ family is.”

Additionally, Chaturvedi urged CIOs to look beyond functionality and assess how open and portable these offerings are, particularly in multi-platform environments where business definitions may need to move across data lakehouses, analytics tools, and AI platforms.

This is where Chaturvedi sees Snowflake differentiating itself from rivals, with its focus on open semantic interoperability aimed at reducing the risk of semantic lock-in as enterprises evolve their data and analytics stacks.

The battle for the AI control plane

Snowflake’s efforts to differentiate itself, though, analysts pointed out, at least for CIOs, draw attention to a larger race among vendors, including Databricks, to become the control plane for enterprise AI.

While Snowflake is attempting to position itself as an AI control layer through a combination of Snowflake Intelligence, Horizon Catalog, and its push for open semantic interoperability, Microsoft is embedding business context and governance across its Copilot, Fabric, and broader AI stack through offerings such as Work IQ, Fabric IQ, and Foundry IQ, Chaturvedi said.

Databricks’ Genie Ontology, too, is part of a similar strategy, Chaturvedi pointed out, urging CIOs to view the offering in the context of the company’s wider effort to position its lakehouse platform as the foundation on which enterprise AI agents are built, governed, and eventually deployed.

“It’s absolutely a control-plane play. When you connect the dots across everything Databricks has announced at this summit, including LTAP, OpenSharing, and Genie Ontology, you see a single place where enterprise data, governance, business semantics, and agent execution all converge,” Chaturvedi added.

Further, the analyst noted that the control-plane strategy reflects Ghodsi’s broader vision that data platforms could evolve into what the CEO describes as an “agentic system of record” — an authoritative source that AI agents read from, reason over, and act through.

The concept mirrors earlier platform shifts, Chaturvedi said, where ERP systems became the system of record for business transactions and data warehouses became the system of record for analytics.

The next battle, the analyst said, is over which platform becomes the system of record for enterprise AI agents.

Moor Insights and Strategy’s Leone agreed that data platforms are well-positioned to compete for that role because they already own the data, governance controls, lineage, and permissions that agents require to operate safely at scale.

Still, analysts cautioned that context alone will not determine which vendor comes out on top.

“The next enterprise AI battleground is not just context. It is verifiable execution,” Walter said.

Dexmedetomidine Safety, Pharmacokinetics in Cooling Infants

17 June 2026 at 07:35

In the delicate realm of neonatal intensive care, managing infants suffering from hypoxic-ischemic encephalopathy (HIE) presents a multifaceted challenge. Therapeutic hypothermia (TH) has emerged as the cornerstone treatment for neonatal encephalopathy, significantly improving neurological outcomes by mitigating ongoing brain injury that occurs after asphyxia at birth. However, the sedation and analgesia required during TH add complexity to clinical care. Traditionally, morphine has been the analgesic agent of choice, but concerns over its respiratory depressant effects and potential neurodevelopmental consequences have prompted the search for safer alternatives. Enter dexmedetomidine, a potent alpha-2 adrenergic receptor agonist known for its sedative and analgesic properties without significant respiratory compromise. Yet, despite its promising pharmacological profile, the safety and pharmacokinetics (PK) of dexmedetomidine in neonates undergoing cooling therapy remain largely unexplored—until now.

A groundbreaking clinical trial, aptly named the DICE trial (Dexmedetomidine use in Infants undergoing Cooling due to neonatal Encephalopathy), spearheaded by Baserga et al., has cast new light on this issue. Published recently in Pediatric Research, the trial meticulously investigates both the safety parameters and PK behavior of dexmedetomidine when administered to cooled neonates. This research addresses a critical void in pediatric pharmacology, potentially reshaping sedation practices in neonatal intensive care units worldwide.

Therapeutic hypothermia involves lowering the infant’s core temperature to 33.5°C for 72 hours, slowing metabolic processes and reducing neuronal damage after birth asphyxia. While TH improves survival and reduces disability rates, it also complicates drug metabolism due to the altered physiologic state induced by hypothermia. Infants undergoing TH frequently require continuous sedation to prevent shivering and alleviate stress, conditions that exacerbate brain injury if unmanaged. The sedative agent must provide effective analgesia without impeding vital respiratory functions or prolonging recovery. Morphine, despite being widely utilized, is not an optimal candidate due to dose-dependent respiratory depression and a potentially detrimental impact on developing neural circuits.

Dexmedetomidine’s mechanism of action involves selective stimulation of alpha-2 adrenergic receptors in the locus coeruleus region of the brainstem, leading to decreased norepinephrine release and hence sedation and analgesia. Unlike opioids, it typically does not cause respiratory depression, making it an attractive alternative for fragile neonates on TH. However, neonates present unique challenges due to immature hepatic enzyme systems and renal functions, making PK predictions complex. Additionally, TH alters enzyme activity and systemic circulation, affecting drug clearance and distribution.

The DICE trial comprehensively evaluates dexmedetomidine’s PK parameters, including clearance rates, volume of distribution, and half-life in cooled neonates. Infants receiving dexmedetomidine during TH were closely monitored for any adverse events, sedation depth, and plasma drug concentrations using highly sensitive assays. This allowed the researchers to generate detailed PK profiles, vital for establishing dosing regimens that ensure efficacy and safety.

One of the study’s pivotal findings is that the clearance of dexmedetomidine is significantly reduced during the hypothermic phase compared to normothermia. This decrement underscores the importance of dose adjustment since standard dosages could lead to drug accumulation, increasing the risk of bradycardia or hypotension. Conversely, as rewarming commences, clearance values gradually return toward normal, necessitating further dose modulation to maintain therapeutic plasma levels.

Safety endpoints reported by Baserga and colleagues are particularly encouraging. Adverse effects typically associated with dexmedetomidine, such as profound bradycardia and hypotension, were infrequent and generally mild. Continuous cardiorespiratory monitoring revealed stable parameters in the majority of subjects, with no episodes of respiratory depression. Importantly, sedation scores indicated adequate analgesia and sedation quality, thereby validating dexmedetomidine’s dual role without the respiratory risks posed by opioids.

Beyond PK and safety, the trial explores the pharmacodynamic implications of dexmedetomidine during TH. The sedative’s anti-inflammatory and neuroprotective properties may synergize with hypothermia’s benefits, although this hypothesis requires further investigation. Animal model data suggest that alpha-2 adrenergic agonism may attenuate excitotoxic injury and oxidative stress, pathways central to neuronal death in HIE. Should future studies confirm these effects in humans, dexmedetomidine could transform neonatal encephalopathy management by enhancing neuroprotection beyond sedation.

Another critical aspect highlighted by the research is dexmedetomidine’s impact on intensive care workflow. Its relatively predictable sedation profile and minimal respiratory depression could reduce the need for mechanical ventilation, thereby lowering the risk of associated complications. Enhanced safety margins facilitate more tailored sedation strategies and potentially shortened intensive care stays, lifting both clinical and economic burdens on neonatal units.

The DICE trial’s results yield a compelling argument for revisiting current sedation protocols in TH-treated neonates. The detailed PK modeling and robust safety data provide clinicians with a scientific foundation for incorporating dexmedetomidine into standard care. Yet, the authors prudently emphasize the need for larger randomized controlled trials to conclusively determine long-term neurodevelopmental outcomes, optimal dosing schedules, and comparative efficacy versus morphine.

This research emerges amidst a broader paradigm shift in neonatal critical care, where individualized pharmacotherapy and precision medicine are gaining ground. Neonatal drug development historically suffers from a paucity of rigorous studies, often leading to off-label medication use based on extrapolation from adult data. The DICE trial represents a milestone by focusing exclusively on neonates under a specialized treatment modality, thereby refining our understanding of drug behavior in this vulnerable population.

The adoption of dexmedetomidine could align with evolving ethical standards prioritizing minimization of harm and maximal comfort in neonatal intensive care. Parents and clinicians alike are increasingly motivated to seek sedation regimens that preserve neurocognitive potential while ensuring humane care during painful and distressing therapeutic procedures.

In conclusion, the DICE trial spearheaded by Baserga et al. denotes a landmark advance in neonatology. By delineating the pharmacokinetics and safety profile of dexmedetomidine in infants undergoing therapeutic hypothermia for neonatal encephalopathy, this study charts a promising path forward. The synergy between TH and dexmedetomidine could herald a new era of neuroprotective sedation strategies that not only alleviate pain and discomfort but also contribute to improved neurological outcomes in the most fragile patients. As further validation studies emerge, dexmedetomidine stands poised to become an indispensable therapeutic tool in the neonatal intensive care arsenal.


Subject of Research: Safety and pharmacokinetics of dexmedetomidine use in neonates undergoing therapeutic hypothermia due to neonatal encephalopathy.

Article Title: Dexmedetomidine use in Infants undergoing Cooling due to neonatal Encephalopathy (DICE trial): safety and pharmacokinetics.

Article References:
Baserga, M.C., Bahr, T.M., Yang, M.J. et al. Dexmedetomidine use in Infants undergoing Cooling due to neonatal Encephalopathy (DICE trial): safety and pharmacokinetics. Pediatr Res (2026). https://doi.org/10.1038/s41390-026-05184-0

Image Credits: AI Generated

DOI: 16 June 2026

Keywords: neonatal encephalopathy, therapeutic hypothermia, dexmedetomidine, sedation, analgesia, pharmacokinetics, neonates, neuroprotection

Assessing Urban Flooding Factors with SCS-TR20, SBUH

17 June 2026 at 07:00

Urban flooding has emerged as one of the most pressing environmental challenges faced by modern cities worldwide. As urbanization accelerates and impermeable surfaces replace natural landscapes, the capacity of drainage systems and natural waterways to manage stormwater dramatically decreases. This phenomenon exacerbates flood risks, leading to significant economic damage, disruption of daily life, and threats to public safety. In this context, the innovative research conducted by Dehdehi, Soleimani-Motlagh, and Haghizadeh offers a critical evaluation and in-depth analysis of the factors influencing urban flooding using advanced hydrological modeling techniques. Their work employs the Soil Conservation Service – Technical Release 20 (SCS-TR20) model and the Sacramento Soil Moisture Accounting Unit Hydrograph (SBUH) model to unravel the complexities behind flood dynamics in urban environments.

The study begins by contextualizing the incidence of urban flooding within rapidly expanding metropolitan areas. Urban landscapes are characterized by an extensive network of roads, buildings, and other paved surfaces, significantly altering the natural water cycle by accelerating runoff and reducing infiltration. The authors argue that understanding these changes requires precise hydrological models capable of simulating surface runoff, infiltration, and subsurface flow processes under varying climatic and land use scenarios. Both SCS-TR20 and SBUH models boast comprehensive frameworks that may be tailored to urban catchments, enabling the dissection of hydrological responses to precipitation events with high spatial and temporal resolution.

Fundamental to their research is the exploration of how different physical and environmental factors affect urban flooding. These include soil properties, topography, storm characteristics, land use patterns, vegetation cover, and urban infrastructure design. The SCS-TR20 model, originally developed to estimate direct runoff from small watersheds, is applied here to quantify the runoff generation process by integrating rainfall data with land surface conditions. It incorporates parameters like curve number (CN), which reflects soil infiltration capacity and land cover, to predict peak discharge during storm events. This allows the researchers to examine how changes in impervious surface area or soil moisture status may intensify or mitigate runoff production in urban catchments.

Simultaneously, the study leverages the SBUH hydrological model, a unit hydrograph-based method that simulates watershed response to rainfall by accounting for soil moisture dynamics. The SBUH model provides a mechanistic representation of subsurface flow and its contribution to streamflow, which is often overlooked in simpler runoff generation models. By embedding soil moisture accounting within the urban context, the authors can capture delayed flow components and baseflow behavior, enriching the flood prediction process. This is particularly important in urban areas where drainage infrastructure can alter natural groundwater recharge pathways.

A critical component of their methodology involves calibrating and validating these models against observed hydrological data from urban watersheds experiencing recurrent flooding. The researchers emphasize rigorous parameter optimization to enhance predictive accuracy. They adopt techniques such as sensitivity analysis to identify which parameters most significantly influence model outputs, thereby guiding priorities for data collection and urban planning interventions. The models’ outputs are then cross-verified through statistical measures, including Nash-Sutcliffe efficiency and root mean square error, confirming their robustness in simulating runoff processes in real-world urban systems.

Their findings highlight that urban flooding is not solely dependent on rainfall intensity and volume but is profoundly affected by intricate interactions between soil characteristics, land cover changes, and urban drainage infrastructure. For instance, increasing impervious surfaces significantly raises the curve number, leading to more immediate and higher runoff peaks. Moreover, poor maintenance or design flaws in stormwater systems exacerbate flooding by reducing conveyance capacity. The study also reveals that antecedent soil moisture conditions before rainfall events play a pivotal role; saturated soils contribute to quicker runoff generation and potential flash floods, emphasizing the need for integrated urban water management that considers soil moisture dynamics.

The implications of this research extend to urban planners, environmental managers, and policymakers. By elucidating how specific landscape and infrastructure features influence flood risks, the models can inform the design of resilient urban drainage networks. Incorporating green infrastructure, such as permeable pavements, rain gardens, and bio-retention basins, can modulate runoff by enhancing infiltration and delaying peak flows, a strategy validated by simulation scenarios using their models. Additionally, the work supports the advancement of early warning systems that integrate hydrological forecasts with real-time rainfall data, offering communities proactive flood risk mitigation.

Significantly, the study advances the hydrological modeling field by adapting traditional models—initially designed for rural or agricultural catchments—to the complex hydrodynamics of urban settings. This adaptation includes customizing parameter sets to account for heterogeneity in urban land use, addressing issues such as localized flooding resulting from blocked drains or topographical depressions. The dual-model approach combining SCS-TR20 and SBUH affords a more comprehensive understanding than reliance on a single modeling framework, as it captures both surface and subsurface hydrological processes with greater fidelity.

Furthermore, the research contributes to global climate change discussions by considering how altered precipitation patterns may interact with urban factors to exacerbate flooding. The authors simulate future storm scenarios based on climate projections, revealing potential increases in flood frequency and severity if urban areas do not enhance their stormwater resilience. This evidence reinforces the urgency of integrating climate adaptation measures into urban development policies, underscoring the indispensable role of hydrological models in forecasting and managing emerging flood risks.

An additional innovative aspect of this study is the use of high-resolution spatial data and advanced computational techniques to implement the hydrological models. Remote sensing technologies and geographic information systems (GIS) are applied to delineate watershed boundaries, map land cover, and analyze slope and soil properties with great precision. The incorporation of these technologies allows for dynamic model updating and supports scenario testing for various urban growth and land use change possibilities. By utilizing such data-driven methods, the authors ensure that their flood impact analyses are both spatially relevant and temporally sensitive.

The multi-faceted modeling framework also evaluates the effectiveness of different flood mitigation strategies using scenario-based simulations. For example, the researchers model the impact of increasing urban green spaces or enhancing stormwater storage capacity on reducing flood peak discharge. These simulations provide actionable insights for urban engineers and policymakers by demonstrating which interventions yield the greatest reduction in flood risks under diverse weather conditions. Consequently, their work serves as a decision-support tool to prioritize resource allocation and infrastructure investments in flood-prone urban regions.

In summary, the comprehensive evaluation and analysis conducted by Dehdehi, Soleimani-Motlagh, and Haghizadeh signify a breakthrough in understanding urban flood dynamics through integrated hydrological modeling. By leveraging the strengths of SCS-TR20 and SBUH models, their study provides a nuanced depiction of how natural, built, and climatic factors coalesce to influence flooding in cities. These insights pave the way for smarter urban water management, resilience building against extreme weather events, and sustainable urban growth.

Looking forward, the authors advocate for further refinement of hydrological models through enhanced data assimilation and coupling with hydraulic simulations to address flooding at the street and neighborhood scales. They also suggest expanding their approach to encompass socio-economic dimensions, thereby assessing the human and economic impacts of flood events alongside hydrological predictions. Such interdisciplinary integration will be vital as urban flood challenges intensify in the face of urban expansion and climate variability.

Ultimately, this pioneering research not only enriches the theoretical hydrology landscape but also offers practical tools for urban flood mitigation worldwide. As cities grapple with the escalating frequency of intense storm events, such scientifically rigorous and technologically sophisticated studies provide a beacon for safeguarding populations, infrastructure, and ecosystems from the devastating consequences of urban flooding.


Subject of Research: Evaluation and analysis of factors affecting urban flooding through hydrological modeling.

Article Title: Evaluation and analysis of the impact of factors affecting urban flooding using SCS-TR20 and SBUH hydrological models.

Article References:
Dehdehi, N., Soleimani‑Motlagh, M. & Haghizadeh, A. Evaluation and analysis of the impact of factors affecting urban flooding using SCS-TR20 and SBUH hydrological models. Sci Rep (2026). https://doi.org/10.1038/s41598-026-58279-3

Image Credits: AI Generated

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