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Skin-like electronics combined with Artificial Intelligence are being developed by researchers in order to detect potential emergent health concerns. 

The study was published in the journal Matter with the title Intrinsically stretchable neuromorphic devices for on-body processing of health data with artificial intelligence.

Although flexible, wearable electronics are becoming increasingly common, they have yet to realise their full potential. Precision medical sensors that are placed on the skin to do health monitoring and diagnostics could be made possible by this technology in the near future. It’d be like having a cutting-edge medical institution at your disposal at all times.

Such a skin-like device is being developed in a project between the US Department of Energy’s (DOE) Argonne National Laboratory and the University of Chicago’s Pritzker School of Molecular Engineering (PME). Leading the project is Sihong Wang, assistant professor in UChicago PME with a joint appointment in Argonne’s Nanoscience and Technology division.

Worn routinely, future wearable electronics could potentially detect possible emerging health problems — such as heart disease, cancer or multiple sclerosis — even before obvious symptoms appear. The device could also do a personalized analysis of the tracked health data while minimizing the need for its wireless transmission. “The diagnosis for the same health measurements could differ depending on the person’s age, medical history and other factors,” Wang said. “Such a diagnosis, with health information being continuously gathered over an extended period, is very data intensive.”

Such a device would need to collect and process a vast amount of data, well above what even the best smartwatches can do today. And it would have to do this data crunching with very low power consumption in a very tiny space.

To address that need, the team called upon neuromorphic computing. This AI technology mimics the operation of the brain by training on past data sets and learning from experience. Its advantages include compatibility with stretchable material, lower energy consumption and faster speed than other types of AI.

The other major challenge the team faced was integrating the electronics into a skin-like stretchable material. The key material in any electronic device is a semiconductor. In current rigid electronics used in cell phones and computers, this is normally a solid silicon chip. Stretchable electronics require that the semiconductor be a highly flexible material that is still able to conduct electricity.

The team’s skin-like neuromorphic “chip” consists of a thin film of a plastic semiconductor combined with stretchable gold nanowire electrodes. Even when stretched to twice its normal size, their device functioned as planned without the formation of any cracks.

For one test, the team built an AI device and trained it to distinguish healthy electrocardiogram (ECG) signals from four different signals indicating health problems. After training, the device was more than 95 per cent effective at correctly identifying the ECG signals.

The plastic semiconductor also underwent analysis on beamline 8-ID-E at the Advanced Photon Source (APS), a DOE Office of Science user facility at Argonne. Exposure to an intense X-ray beam revealed how the molecules that make up the skin-like device material reorganize upon doubling in length. These results provided molecular-level information to better understand the material properties.

“The planned upgrade of the APS will increase the brightness of its X-ray beams by up to 500 times,” said Joe Strzalka, an Argonne physicist. “We look forward to studying the device material under its regular operating conditions, interacting with charged particles and changing electrical potential in its environment. Instead of a snapshot, we’ll have more of a movie of the structural response of the material at the molecular level.” The greater beamline brightness and better detectors will make it possible to measure how soft or hard the material becomes in response to environmental influences.

“While still requiring further development on several fronts, our device could one day be a game changer in which everyone can get their health status in a much more effective and frequent way,” added Wang.


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James Webb Telescope Detects Potential Gas Giant Exoplanet Just 4 Light-Years Away

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James Webb Telescope Detects Potential Gas Giant Exoplanet Just 4 Light-Years Away

New observational evidence from the James Webb Space Telescope (JWST), which has yet to launch, may change that. JWST astronomers have found tantalising hints of an orbiting gas giant around Alpha Centauri A, the closest Sun-like star to us. Located just four light-years away in the Alpha Centauri triple-star system, the potential planet sits within the star’s habitable zone — the region where liquid water could exist — but its gas giant nature makes it inhospitable to life. Even so, its location and distinctiveness make the detection among the most captivating detections in exoplanetary exploration prior.

JWST Unveils Possible Closest Sun-Like Star Exoplanet, Awaiting Confirmation

According to a NASA report, this was done with the JWST Mid-Infrared Instrument (MIRI) using a coronagraphic mask to block out stellar glare. This method caught sight of an object which is almost 10,000 times fainter than Alpha Centauri A and at a separation of around two astronomical units. If upheld, it would be the nearest exoplanet to a similar being ever pictured and, moreover, the first healthy globe discovered in direct significance.

Researchers noted that while Alpha Centauri already hosts two confirmed planets around the red dwarf Proxima Centauri, no planet has yet been confirmed around Alpha Centauri A. Follow-up JWST observations did not capture the planet again, possibly because it was too close to the star during the imaging. Computer simulations support this possibility.

The team wants to look for more evidence using both JWST and the yet-to-be-launched Nancy Grace Roman Space Telescope, due in May 2027. Confirmation would represent a watershed moment in planetary system science, where astronomers are looking into embryonic solar systems around other stars.

Researchers said the potential planet’s existence in such a dynamic binary star system could challenge current models of planetary formation and survival. Two papers detailing the findings have been accepted for publication in The Astrophysical Journal Letters.

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Earliest Known Black Hole Found Just 500 Million Years After the Big Bang

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Earliest Known Black Hole Found Just 500 Million Years After the Big Bang

Astronomers have discovered the most distant black hole yet, an ancient quasar more than 13 billion light years from our own Earth, incredibly close to the limit of where scientists even expect supermassive black holes to form. The cosmic behemoth of a galaxy, known as CAPERS-LRD-z9, provides a wide-window echo back in time to one of the furthest peeks into our early universe yet, only shortly after the Big Bang, when our cosmos was a fraction (3%) of its current age. Now, researchers led by those in The University of Texas at Austin’s Cosmic Frontier team have found what are likely very powerful gas outflows and also evidence that some of the very first black holes were born much, much heavier than previously believed.

Early Black Hole Found in ‘Little Red Dot’ Galaxy Challenges Growth Models

According to a study published in The Astrophysical Journal this week, researchers led by those at The University of Texas at Austin’s Cosmic Frontier team are announcing they have made the most sensitive measurements to date less than a billion years after the Big Bang, and these neonatal black holes were producing gas outflows fast enough — and over a long enough period — to halt stars forming in surrounding galaxies.

More recently discovered, the Little Red Dots galaxy appears to be just the sort of ominous-sounding crimson that would shoot a vibrant deep red due to intense radiation taking place among giant black holes and gas clouds.

A little galaxy of mass in all that more than enough of less, those hundreds of millions of suns among which all those stars are caught. This, in turn, birthed the supermassive galactic monsters — either quickly overcooked giants or premature sizes.

JWST high-z key science theme & imaging science exposure for mapping the process of supermassive black hole formation, growth, and evolution at high spatial detail.

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Greenland’s Melting Glaciers Feed Ocean Life, Study Finds

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Greenland's Melting Glaciers Feed Ocean Life, Study Finds

The process of Greenland’s ice sheet melting is not only raising sea levels, it is also feeding life in the ocean. As the most productive for marine life, phytoplankton harvesting energy from this nutrient-filled climate change is altering how this biological pump works in these warming ares. In a new study, scientists employed cutting-edge computer models to simulate the intricate movements of ice melt and seawater with ocean currents and marine biology behaviour finnesing adding more detail to an understanding of these unseen forces between Earth’s shifting polar zones.

Glacial Melt Fuels a Surge in Ocean Life

According to precious study, each summer Jakobshavn Glacier releases more than 300,000 gallons of freshwater per second into the sea. This less-dense meltwater shoots upward through heavier, salty seawater, dragging deep-sea nutrients—like iron and nitrate—toward the sunlit surface. These nutrients are essential for phytoplankton, which are the foundation of the ocean food chain.

In recent decades, NASA satellite data recorded a 57% surge in Arctic phytoplankton, and scientists now have a clearer picture of why. The nutrient boost is especially crucial in late summer, when spring blooms have already depleted surface waters. Without direct access to such remote regions, researchers had long struggled to test the nutrient-plume hypothesis—until now.

NASA’s Digital Ocean Brings Clarity Beneath the Ice

To simulate the chaotic waters of Greenland’s fjords, researchers used the ECCO-Darwin model, developed by NASA’s Jet Propulsion Laboratory and MIT. Fueled by billions of ocean measurements—temperature, salinity, pressure—this model replicates how biology, chemistry, and physics interact. Using NASA’s supercomputers at Ames Research Center, the team calculated a 15–40% increase in phytoplankton growth from glacial nutrients.

Yet more change looms: as melting accelerates, seawater may lose its ability to absorb CO₂ even as plankton pull more of it in. “Like a Swiss Army knife,” said researcher Michael Wood, “this model helps us explore ecosystems far beyond Greenland.”

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