In a groundbreaking advancement that could reshape the landscape of bioelectronic medicine, researchers have developed a wirelessly powered, bioresorbable electrical stimulation system with unprecedented programmable control over stimulation waveforms. This innovation integrates tissue-penetrating near-infrared (NIR) light to modulate electrical currents with precision, harnessing a novel bioresorbable silicon phototransistor as the cornerstone of its operation. Pioneering beyond earlier monophasic pulse devices, this technology allows for the delivery of monophasic, biphasic, and polyphasic stimulation patterns, significantly enhancing the versatility and therapeutic potential of implantable electrical stimulators designed to dissolve harmlessly after use.

Traditional electrical stimulators implanted in biological tissues have largely relied on wired connections or bulky batteries, impeding patient mobility and often necessitating additional surgeries for device removal. Bioresorbable devices emerged as a solution to these challenges by safely degrading in the body over time, eliminating the risks associated with permanent implants. However, these earlier systems primarily delivered monophasic pulses, limiting therapeutic precision and adaptability in complex treatments. The innovation reported by Kim, Seo, Wang, and colleagues introduces a new paradigm by integrating wireless power transfer via NIR light and programmable waveform control within a fully bioresorbable platform, thus extending the functional range and easing the clinical management of bioelectronic therapies.

Central to this system is the incorporation of bioresorbable silicon phototransistors engineered to serve as optoelectronic modulators within the electrical circuitry. When illuminated by externally applied near-infrared light that penetrates deep into biological tissues, these phototransistors effectively adjust current flows at critical circuit nodes. This optical modulation capability replaces conventional electronic control elements, which often rely on persistent power sources or invasive wiring, thereby enabling the device to operate autonomously while still allowing fine-tuning of stimulation parameters through non-contact optical inputs.

The adoption of near-infrared light as the wireless power and control mechanism is particularly significant. NIR light possesses the ability to penetrate through several centimeters of tissue without causing damage, providing a safe and efficient transmission channel between the external controller and the implanted device. This feature supports programmability in situ, empowering clinicians to tailor electrical stimulation waveforms dynamically after device implantation. Precisely controlling the shape, amplitude, and timing of the electrical pulses is crucial for optimizing therapeutic outcomes in applications such as neuroregeneration and cardiac pacing.

The research team demonstrated the remarkable versatility of their bioresorbable system by successfully delivering a variety of stimulation waveforms. Monophasic pulses, which are unidirectional current flows, serve as a baseline therapy. More complex biphasic and polyphasic waveforms, which alternate current direction and comprise multiple phases respectively, have been shown to minimize tissue damage and improve efficacy in various biosignaling contexts. The ability to generate these sophisticated patterns expands the therapeutic range of the device, potentially enabling treatments that were previously inaccessible using bioresorbable technologies.

In demonstrating practical utility, the device was tested in both small and large animal models, validating its capacity for clinically relevant electrical stimulation regimes. The system was effectively employed in single- and dual-chamber cardiac pacing, a critical intervention for managing arrhythmias and heart block. Through controlled electrical stimulation, the device could synchronize cardiac contractions, a feat crucial for restoring efficient cardiac output. These trials highlight the translational potential of the technology for future human applications, situating it as a promising alternative to current electronic pacemakers that require permanent implantation and battery replacements.

Further extending the functional scope, the researchers utilized the bioresorbable stimulator to activate phrenic neuromuscular pathways to either induce or block diaphragmatic movements. The phrenic nerve controls diaphragmatic excursion, essential for respiration, and its modulation has significant implications for respiratory therapies, such as in patients with spinal cord injuries or central hypoventilation syndromes. By enabling wireless, programmable neurostimulation of the phrenic nerve, the technology offers a minimally invasive approach to manage life-sustaining respiratory functions, with the added benefit of device degradation after the therapeutic window.

The bioresorbable nature of the silicon phototransistors and associated electronics assures that after fulfilling their therapeutic role, the devices gradually dissolve into biocompatible byproducts. This process circumvents the complications related to device explantation surgeries, reducing patient risk and healthcare costs. Moreover, the materials chosen minimize inflammatory responses and tissue irritation, facilitating seamless integration with host biology during the operational phase.

The engineering behind this system represents an intersection of materials science, optoelectronics, and biomedical engineering. The architecture leverages the semiconducting properties of silicon in thin-film, bioresorbable form, combined with circuit design optimized for minimal power consumption and maximal efficiency during NIR irradiation. These multidisciplinary innovations collectively overcome longstanding barriers in the fabrication of transient electronic implants capable of sophisticated programmable functionality.

Controlling the stimulation waveforms via light permits remote adjustment without physical connections, paving the way for real-time therapeutic modulation responsive to patient status or physiological signals. Future iterations could incorporate feedback mechanisms by integrating bioresorbable sensors that monitor tissue response, creating closed-loop systems for personalized medicine. This dynamic adaptability could be transformative in managing chronic conditions requiring variable and responsive electrical stimulation protocols.

This research also addresses one of the fundamental challenges of implantable devices: power delivery. The optical wireless power transfer circumvents the need for bulky batteries or explant procedures, offering renewed device miniaturization potential. Coupled with programmable phototransistors, these innovations enable multifunctional implants that conform to soft tissues and degrade harmlessly, a trifecta crucial for implantation in sensitive organs like the heart and nervous system.

The ability to deliver polyphasic waveforms through a single bioresorbable receiver unit is particularly noteworthy. Conventionally, generating these complex waveforms requires sophisticated circuitry and stable power sources, neither of which are trivial to implement in resorbable devices. The research showcases how optical control unlocks this capability without sacrificing bioresorbability or wireless operation, representing a paradigm shift in transient biomedical electronics.

The successful application of this device in large animal cardiac models bridges a critical gap toward clinical translation. Such models replicate human physiological scales and complexities far more closely than small animals, validating both the efficacy and safety of the system under conditions analogous to human therapies. This demonstration is an essential milestone on the path toward human clinical trials and eventual regulatory approval.

Moreover, the phrenic nerve stimulation experiments illustrate the broader applicability beyond cardiac pacing. Neuromuscular control via electrical stimulation has vast clinical relevance, from restoring motor function to modulating organ systems. The biodegradable, wireless nature of this system makes it especially suited for temporary therapeutic interventions, such as post-surgical recovery or transient disease states, where permanent implants would be unnecessary or undesirable.

While this work represents a major leap forward, ongoing challenges remain, including further optimization of device longevity relative to treatment durations, refinement of light delivery systems to maximize tissue penetration and minimize off-target effects, and integration with advanced biocompatible materials to tailor resorption timelines. Addressing these will be key to broadening the range of clinical applications and ensuring patient safety across diverse scenarios.

Overall, this wirelessly powered, light-controlled, bioresorbable stimulation system emerges as a versatile platform poised to transform bioelectronic therapies. Its elegant combination of programmable polyphasic waveform delivery, wireless operation via near-infrared light, and full bioresorbability addresses critical limitations of current implantable stimulators. By enabling sophisticated, minimally invasive, and transient electrical stimulation paradigms, this technology advances the frontiers of regenerative medicine, cardiac therapy, and neuromodulation, marking a significant milestone in the evolution of biomedical devices.

Subject of Research: Wireless bioresorbable electrical stimulation device with programmable waveform control using near-infrared light

Article Title: A wirelessly powered, light-controlled, bioresorbable stimulation system with programmable polyphasic waveforms

Article References:
Kim, J.U., Seo, S.G., Wang, H. et al. A wirelessly powered, light-controlled, bioresorbable stimulation system with programmable polyphasic waveforms. Nat Electron (2026). https://doi.org/10.1038/s41928-026-01655-8

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s41928-026-01655-8

"Anyone who still thinks that Lucy Letby is guilty should have their head examined," says Professor Shoo Lee, whose research was used in court to help prosecute the nurse. Julian Mann reports on a new book on the case.

The post “Anyone Who Still Thinks Lucy Letby is Guilty Should Have Their Head Examined,” Says Medical Expert appeared first on The Daily Sceptic.

The Transient Artifact and Continuous Learning System (TACLS) leverages data from continuously operating satellite networks coupled with machine learning models to help meteorologists at the National Weather Service forecast flash floods more efficiently. This new software is the result of a collaboration between NASA’s Jet Propulsion Laboratory, the University of California, San Diego (UCSD), and the National Oceanic and Atmospheric Administration (NOAA) National Weather Service (NWS).

Created with support from NASA’s Earth Science Technology Office (ESTO), TACLS leverages machine learning to automatically locate evidence (unusual increases in atmospheric moisture) of impending flash flooding that meteorologists may otherwise miss as they analyze large amounts of data. TACLS flags that evidence, indicates where flash flooding could likely occur, and displays that information via a user-friendly visualization for human analysts to interpret. Those analysts can then decide whether to issue a flash flood warning or weather advisory.

This novel framework for tracking extreme weather events and predicting imminent flash floods operates in near real-time, producing forecasts in as little as fifteen minutes.

“That’s really what we wanted to do, to give meteorologists a tool to help decision making for flash flood warnings,” said Yehuda Bock, Distinguished Researcher at the UCSD Scripps Institution of Oceanography and principal investigator for TACLS.

In simulations testing, TACLS used data from diverse severe weather events—including atmospheric rivers, monsoonal convection, and tropical cyclone remnants—between 2017 and 2023 and successfully captured 93% of the issued flash-flood warnings. Meteorologists from the National Weather Service are currently working to incorporate TACLS into their existing systems for forecasting flash floods in Southern California.

This learning system has two main components. First, an analytic back-end software suite uses machine learning algorithms to process satellite data and determine areas at risk for flooding. Second, user-friendly visualization software highlights those areas for further analysis by humans.

The ACLS back-end software analyzes data from satellites in the Global Navigation Satellite System (GNSS), a constellation of satellite networks that drive navigation services around the world. Water vapor in the troposphere delays signals from these satellites as they travel to Earth. This signal delay can be analyzed to calculate the amount of water vapor in the atmosphere over a particular location on Earth.

The TACLS analytic back-end software suite features a machine learning model trained using more than 30 years of past GNSS data. This model is an anomaly detector that tracks unusual increases in atmospheric moisture. The model then carefully examines that atmospheric moisture data and determines whether it’s either an artifact (a false feature or distortion in the data) or a transient (a time-sensitive physical event, like heavy precipitation) that requires interpretation by human analysts.

If TACLS determines the data represents a transient, such as an extreme weather event that warrants a flash flood warning, it will forward that data to the TACLS visualization software (MGViz) for further evaluation by humans. The analysts use their judgement and experience to interpret these events and determine whether the flagged data indicates a flash flood is likely, and, if necessary, issue a flash flood warning.

Several past innovations developed at JPL are leveraged by TACLS to process GNSS data and present the results. The analytic back-end software suite incorporates elements from JPL’s Domain-agnostic Outlier Ranking Algorithms program and the Time-series Forecasting, Evaluation, and Deployment program. The TACLS visualizer is based on the Multi-Mission Geographic Information System, originally developed at JPL for NASA’s Mars missions.

The TACLS software binds all these components within a novel system that enhances existing methods to reduce the amount of time it takes for a human analyst to determine whether to issue a flash flood warning.

Both the TACLS software and the data used to train it will be open-source, allowing scientists to either tailor this model in response to their unique research needs or create their own model from scratch.

For additional details, see the entry for this project on NASA TechPort. 

Project Lead: Dr. Yehuda Bock, University of California, San Diego. 

Sponsoring Organization(s): NASA’s Earth Science Technology Office Advanced Information Systems Technology Program; JPL; NOAA; National Weather Service. 

The Transient Artifact and Continuous Learning System (TACLS) leverages data from continuously operating satellite networks coupled with machine learning models to help meteorologists at the National Weather Service forecast flash floods more efficiently. This new software is the result of a collaboration between NASA’s Jet Propulsion Laboratory, the University of California, San Diego (UCSD), and the National Oceanic and Atmospheric Administration (NOAA) National Weather Service (NWS).

Created with support from NASA’s Earth Science Technology Office (ESTO), TACLS leverages machine learning to automatically locate evidence (unusual increases in atmospheric moisture) of impending flash flooding that meteorologists may otherwise miss as they analyze large amounts of data. TACLS flags that evidence, indicates where flash flooding could likely occur, and displays that information via a user-friendly visualization for human analysts to interpret. Those analysts can then decide whether to issue a flash flood warning or weather advisory.

This novel framework for tracking extreme weather events and predicting imminent flash floods operates in near real-time, producing forecasts in as little as fifteen minutes.

“That’s really what we wanted to do, to give meteorologists a tool to help decision making for flash flood warnings,” said Yehuda Bock, Distinguished Researcher at the UCSD Scripps Institution of Oceanography and principal investigator for TACLS.

In simulations testing, TACLS used data from diverse severe weather events—including atmospheric rivers, monsoonal convection, and tropical cyclone remnants—between 2017 and 2023 and successfully captured 93% of the issued flash-flood warnings. Meteorologists from the National Weather Service are currently working to incorporate TACLS into their existing systems for forecasting flash floods in Southern California.

This learning system has two main components. First, an analytic back-end software suite uses machine learning algorithms to process satellite data and determine areas at risk for flooding. Second, user-friendly visualization software highlights those areas for further analysis by humans.

The ACLS back-end software analyzes data from satellites in the Global Navigation Satellite System (GNSS), a constellation of satellite networks that drive navigation services around the world. Water vapor in the troposphere delays signals from these satellites as they travel to Earth. This signal delay can be analyzed to calculate the amount of water vapor in the atmosphere over a particular location on Earth.

The TACLS analytic back-end software suite features a machine learning model trained using more than 30 years of past GNSS data. This model is an anomaly detector that tracks unusual increases in atmospheric moisture. The model then carefully examines that atmospheric moisture data and determines whether it’s either an artifact (a false feature or distortion in the data) or a transient (a time-sensitive physical event, like heavy precipitation) that requires interpretation by human analysts.

If TACLS determines the data represents a transient, such as an extreme weather event that warrants a flash flood warning, it will forward that data to the TACLS visualization software (MGViz) for further evaluation by humans. The analysts use their judgement and experience to interpret these events and determine whether the flagged data indicates a flash flood is likely, and, if necessary, issue a flash flood warning.

Several past innovations developed at JPL are leveraged by TACLS to process GNSS data and present the results. The analytic back-end software suite incorporates elements from JPL’s Domain-agnostic Outlier Ranking Algorithms program and the Time-series Forecasting, Evaluation, and Deployment program. The TACLS visualizer is based on the Multi-Mission Geographic Information System, originally developed at JPL for NASA’s Mars missions.

The TACLS software binds all these components within a novel system that enhances existing methods to reduce the amount of time it takes for a human analyst to determine whether to issue a flash flood warning.

Both the TACLS software and the data used to train it will be open-source, allowing scientists to either tailor this model in response to their unique research needs or create their own model from scratch.

For additional details, see the entry for this project on NASA TechPort. 

Project Lead: Dr. Yehuda Bock, University of California, San Diego. 

Sponsoring Organization(s): NASA’s Earth Science Technology Office Advanced Information Systems Technology Program; JPL; NOAA; National Weather Service. 

The post NASA Uses Machine Learning to Enhance Flash Flood Warnings appeared first on NASA Science.

Hurty words on social media will bring the police to your door. But when a landlord discovered a cannabis farm in her property, officers didn't want to know. Welcome to two-tier Britain.

The post I Discovered a Cannabis Farm in My Property – and the Police Did Nothing appeared first on The Daily Sceptic.

Across the stories today, a common thread emerges: the gap between what we know and what we’re able to protect is narrowing, but not fast enough. From hidden pollutants driving 15 percent of global warming to fungal networks stretching nearly a billion times the distance to the sun, science continues revealing the intricate systems that sustain life on Earth—even as political and economic forces test our commitment to preserving them.

The day’s coverage points to growing momentum around conservation breakthroughs. In the Marshall Islands, researchers hunt for “super reefs” that could survive rising ocean temperatures, while Brazil celebrates Amazon deforestation dropping to nearly decade-low levels. Young Stanley the giraffe joins breeding programs in Wiltshire, osprey chicks hatch successfully in North Wales, and Australia’s PlantBank emerges as a global leader in seed conservation. These aren’t just feel-good stories—they represent systematic efforts to build resilience into ecosystems under unprecedented pressure.

Yet the challenges are accelerating too. A century of Antarctic research data now helps scientists track El Niño patterns, but current observations show Antarctica missing a France-sized area of sea ice while winter temperatures soar 20 degrees above normal. The Hoover Dam faces massive power cuts as Lake Mead approaches critical lows, and millions of climate-displaced people find virtually no legal pathway to safety in the United States. It’s a reminder that progress and pressure often arrive together.

Perhaps most striking is how these environmental shifts intersect with human communities. Behind the numbers are real communities adapting in real time—from families near the massive illegal waste dump behind a UK primary school that’s become an election flashpoint, to Florida volunteers mounting dramatic rescue operations for endangered sea turtles. When botanist Beronda Montgomery explores connections between trees and Black American history in her new memoir, she’s mapping how environmental and social justice have always been intertwined.

The global wildlife trade, operating like “pandemic roulette” as it moves billions of animals across continents, exemplifies how our interconnected world amplifies both risks and opportunities. Commercial satellite launches threaten the night sky that has guided humanity for millennia, while SpaceX prepares for a massive public offering. Each technological leap forward carries environmental trade-offs that ripple across systems we’re still learning to understand.

China’s story encapsulates these tensions perfectly: achieving a historic drop in power sector emissions for the first time in a decade, yet simultaneously surging coal power that threatens to reverse those gains. Australia faces a similar paradox, preparing to lead international climate negotiations even as climate denial gains political ground domestically.

What emerges from today’s reporting is a picture of accelerating change on multiple fronts. Scientists are racing to identify heat-resistant corals and document rare butterfly discoveries in Surrey, while bird enthusiasts fly across Australia for a single gull sighting—small acts of attention that collectively map our changing world.

As the week unfolds, all eyes will be on how these parallel tracks—scientific discovery, conservation innovation, political resistance, and community adaptation—continue to intersect. The federal judge ruling against the Trump administration’s cancellation of environmental justice grants signals that legal frameworks remain crucial battlegrounds. But the deeper story may be in the fungal networks beneath our feet: vast, interconnected systems working largely unseen to sustain life, reminding us that resilience often operates at scales both smaller and larger than we imagine.

The post Hidden Pollutants Drive 15 Percent of Global Warming, Wildlife Trade Creates ‘Pandemic Roulette’ With Billions of Animals — Today’s Environmental Briefing for Sun, Jun 14 2026 first appeared on EnviroLink Network.

A woman who says she was raped in a Greater Manchester Police cell claims Andy Burnham sent her from pillar to post and has dismissed his inquiry as a PR stunt.

The post Burnham Failed me, Claims Woman ‘Raped by Police’ appeared first on The Daily Sceptic.

**

Across the stories today, a common thread emerges: the tension between revelation and rescue—moments when new understanding drives urgent action, even as time runs short.

Beneath our feet, scientists have mapped fungal networks stretching nearly a billion times the distance to the sun, revealing an underground web of connection that dwarfs anything visible above ground. It’s a reminder that the natural world operates on scales both microscopic and cosmic, with systems we’re only beginning to understand. This same spirit of discovery appears in unexpected places—from the ghostly earthshine illuminating the moon’s dark side to the arrival of a tropical western reef heron in Wales, likely pushed northward by changing climate patterns.

The day’s coverage points to growing momentum around what happens when scientific insight meets conservation urgency. In Mozambique, nine female white rhinos completed their journey to establish the country’s first viable breeding population in generations—a decade-long effort finally bearing fruit. Meanwhile, Australian researchers at PlantBank work like modern-day ark builders, preserving seeds before species disappear forever. On Palau’s Ulong Island, the simple act of removing invasive rats triggered rapid ecological recovery across both land and marine environments, challenging assumptions about how long nature needs to heal.

Yet revelations don’t always bring good news. China’s power sector emissions fell for the first time in a decade, a historic milestone, but a coal surge threatens to reverse that progress. Trees may store less carbon than scientists hoped, according to new research examining growth patterns across 137 forest sites. And Antarctica is missing sea ice equivalent to France’s size, with winter temperatures soaring 20°C above normal—numbers that feel abstract until you consider their global implications.

It’s a reminder that progress and pressure often arrive together. Lake Mead approaches the critical threshold that will slash Hoover Dam’s electricity production, while thousands of marine animals die in fishing nets annually through bycatch. For the 58-year-old Kenyan fisherman Mohamed Mwazigona, returning to shore with just 2 kilograms of fish, these aren’t statistics—they’re the reality of dwindling catches that threaten coastal livelihoods.

Behind the numbers are real communities adapting in real time. Eight volunteers used ropes and pulleys to rescue a 172-pound loggerhead turtle named Bowser from a Florida pier—the kind of hands-on conservation that makes the difference between survival and loss. In Albania, protesters dubbed the “Flamingo Revolution” emerged after bulldozers illegally destroyed protected wetlands for a luxury resort, showing how environmental destruction can galvanize public resistance.

The stories also reveal how legal frameworks struggle to keep pace with environmental challenges. A federal judge ruled the Trump administration’s cancellation of environmental justice grants illegal, while Australia’s climate chief outlined plans to transform the country from fossil fuel exporter to renewable energy leader. Meanwhile, environmental laws were waived to enable border wall construction through Big Bend National Park, illustrating how political priorities can override conservation concerns.

What emerges is a picture of a planet under pressure, but also of human ingenuity rising to meet unprecedented challenges. As commercial satellites threaten the night sky that has guided humanity for millennia, conservationists celebrate osprey chicks hatching in Wales and sengi pups born in captivity. Progress isn’t linear, and solutions often come from unexpected directions—underground fungal networks, community rescue efforts, and the patient work of seed preservation.

As the week unfolds, all eyes will be on how these parallel stories of discovery and rescue continue to intersect, shaping our understanding of what’s possible when knowledge meets action.

The post China’s Coal Surge Threatens Historic Emissions Drop, Hoover Dam Faces Massive Power Cut as Lake Mead Hits Critical Low — Today’s Environmental Briefing for Sat, Jun 13 2026 first appeared on EnviroLink Network.

A federal judge in South Carolina has delivered a significant legal blow to the Trump administration’s environmental policies, ruling that the termination of a major environmental justice grant program violated federal law. U.S. District Judge Richard Gergel declared the administration’s decision to cancel the $2.8 billion program “illegal,” marking a important victory for environmental justice advocates.

The contested grant program, originally established during the Biden administration, was designed to fund critical projects addressing environmental and public health challenges in underserved communities nationwide. These communities, often disproportionately affected by pollution and environmental hazards, rely on such federal funding to implement solutions for clean air, water quality improvements, and other essential environmental health initiatives.

While Judge Gergel’s ruling definitively voided the guidance that terminated the grant program, the decision stopped short of mandating that federal agencies immediately resume administering the funding. This creates an uncertain path forward for communities and organizations that were counting on these resources to address pressing environmental health concerns.

The ruling represents a broader legal challenge to policy reversals affecting environmental justice initiatives. Environmental advocates view the decision as validation that proper legal procedures must be followed when dismantling programs designed to protect vulnerable communities from environmental harm. The case highlights the ongoing tension between different administrative approaches to environmental policy and the legal constraints that govern such policy changes.

The post Federal Judge Rules Trump Administration’s Cancellation of Environmental Justice Grants Was Illegal first appeared on EnviroLink Network.

Of all the myths that have undermined policing in Britain, perhaps the most pernicious is that polices forces should 'reflect the community they serve'. No, says Joanna Gray: they should be good at their job.

The post No, the Police Should Not ‘Reflect the Community They Serve’. They Should Be Good at Their Job appeared first on The Daily Sceptic.