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Category: wearables

AI speeds up discovery of next-gen computer chips and electronic materials

An international study team, led by Flinders University in collaboration with Khalifa University UAE, built the machine-learning platform to act like a “smart materials discovery engine,” which is capable of dramatically reducing the time spent on complex computer or lab experiments to test and find new materials for future semiconductors.

Semiconductors are used in high-tech applications from wearable electronics, communication systems and smartphones to medical and LED devices and solar panels.

“The challenge is that there are millions of possible material combinations, and testing them one by one in the laboratory or with complex computer simulations is extremely slow and expensive,” says Flinders University ARC Future Fellow Associate Professor Vi-Khanh Truong, lead author of a new article in ACS Materials Letters, titled “Bayesian optimization-guided discovery of gallium-containing semiconductors with targeted band gaps.”

AI-powered stretchable computing patch can run algorithms directly on the body

A new skin-like computing patch developed at the University of Chicago Pritzker School of Molecular Engineering (UChicago PME) can analyze health data using artificial intelligence in an unprecedented way. Unlike today’s wearable devices, it carries out its AI computations directly on the body, in mere milliseconds, without relying on a wireless connection.

While your current smartwatch may be able to track your heart rate or movements, it doesn’t analyze what it finds. The analysis happens elsewhere, after it shuttles data to an external server. In some situations—detecting ventricular fibrillation in the heart, for instance—that few-seconds lag to communicate with the server is too long.

The new device, designed and tested in collaboration with researchers at Argonne National Laboratory, was made possible by the development of manufacturing processes that allow organic electrochemical transistors to be printed onto flexible surfaces.

Biodegradable sensors attached to plants detect pesticides in 3 minutes

Researchers at the São Carlos Institute of Physics at the University of São Paulo (IFSC-USP) in Brazil, led by Paulo Augusto Raymundo-Pereira, have created biodegradable, “wearable” sensors for plants to monitor their health, including the presence of pesticides. The sensors are made from carbon ink and are screen-printed onto transparent cellulose acetate bioplastics.

The study was published in Biosensors and Bioelectronics: X. The World Economic Forum selected wearable sensor engineering as one of the top ten emerging technologies of 2023 for its potential to improve plant health and increase agricultural productivity.

However, most wearable devices today are made from nonrenewable plastic polymers derived from petroleum and have poor adhesion to uneven, wavy, and curved surfaces.

Battery-free skin-conformal wearable system can measure electrocardiogram signals

A research team led by Prof. Jerald Yoo from the Department of Electrical and Computer Engineering at Seoul National University (SNU) has developed a skin-conformal wearable health care system, “SkinECG,” capable of measuring electrocardiogram (ECG) signals without a battery. By combining energy harvesting with human body–coupled power transfer, the study presents a new solution to one of the most critical challenges in wearable devices: power supply.

The findings are published in Science Advances.

Wearable health care systems are emerging as next-generation medical technologies that enable real-time monitoring of physiological signals through body-worn sensors, allowing early detection of disease-related abnormalities.

‘Solar-blind’ 2D heterostructure delivers 422-fold responsivity gain for UV sensing

Photodetectors remain a critical component in the development of advanced electronics and photonics, particularly in the role of signal readout through the conversion of photons into electrons. These digital imaging components are ubiquitous in sensors, cameras, adaptive displays, telecommunications, LiDAR systems, health monitoring wearables, and oximeters.

In the quest toward the next generation of optoelectronic devices, the spotlight lands upon ultrathin 2D materials with improved performance for integrated circuits and wearable electronics. In a recent study published in ACS Applied Electronic Materials, a team of researchers led by Haizhao Zhi and Eng Tuan Poh introduced a series of wide bandgap 2D materials—transition metal thio(seleno)phosphates into the light.

The team focused on manganese thiophosphate (MnPS3), a wide-bandgap semiconductor that is naturally “solar-blind,” meaning it is highly sensitive to UV light while remaining transparent to much of the visible spectrum. While MnPS3 is an excellent candidate for UV sensing, its performance as a standalone material is often limited by low carrier mobility—it acts almost like a “near-perfect insulator.”

Durable ionogel withstands 5,000 times its weight while staying soft on skin

The development of soft materials that can reliably function on the human body is important for the future of bioelectronics and wearable medical devices. These materials need to comfortably conform to the skin while being durable enough for everyday use. However, many existing soft materials are easily damaged, limiting their practical applications.

A research team led by Professor Lizhi Xu from the Department of Mechanical Engineering under the Faculty of Engineering at the University of Hong Kong (HKU) has created a new type of ionogel that overcomes this challenge. The material is soft and flexible, yet strong enough to withstand significant mechanical stress, making it ideal for wearable and biomedical applications.

The research is published in the journal Science Advances, in an article titled “High-strength and fracture-resistant ionogels via solvent-tailored interphase cohesion in nanofibrous composite networks.”

AI slashes the time needed to design better heat-harvesting devices

From wearable technology to industrial heat recovery, thermoelectric generators which convert waste heat into electricity have an enormous range of potential applications. So far, however, designing high-performing versions of these devices has remained a painstaking task.

Now, through new research published in Nature, Airan Li and colleagues at the National Institute for Materials Science in Japan have developed an AI-based tool that predicts device performance with greater than 99% accuracy, all while cutting computational time by around 10,000-fold.

Objectively Measured Daytime Napping and All-Cause Mortality in Older Adults

Among older adults, longer and more frequent daytime napping, especially in the morning, was associated with higher AllCauseMortality, supporting wearable sleep assessment for risk evaluation.

Question Are objectively measured daytime nap characteristics, including duration, frequency, variability, and timing, associated with all-cause mortality among community-dwelling older adults?

Findings In this prospective cohort study of 1,338 adults aged 56 years or older, longer and more frequent daytime napping, as well as morning napping, were associated with higher all-cause mortality. Variability in nap duration was not associated with mortality.

Meaning The findings suggest longer and more frequent, particularly morning, napping may be a behavioral marker of increased mortality risk in late life, underscoring the potential clinical value of incorporating wearable device–based nap assessments into routine health monitoring.

Skin-deep microneedle sensor tracks drug clearance and reveals early kidney and liver dysfunction

Wearable technologies are starting to reshape how people manage health. Continuous glucose monitors that measure blood sugar levels in diabetes patients have already shown the power of tracking an important molecule in real time. The next leap is to track other medically important molecules. However, doing so is far more difficult because most of those molecules are present at much lower concentrations than glucose.

One area such wearable technologies could transform is drug therapy. Many powerful medications are still managed through blood tests that offer only occasional snapshots of how a patient’s body is processing treatment. For drugs that must be dosed precisely to avoid harm, clinicians can miss the point at which dosing becomes ineffective or begins to threaten the organs responsible for processing the drug.

A UCLA-led research team has now developed a microneedle sensor platform designed to address that problem through continuous, minimally invasive monitoring in skin. In a study published in Science Translational Medicine, the researchers showed in rats that the sensors could operate continuously for six days, track drug concentrations over time and provide insight into kidney and liver function by measuring how quickly the body cleared those drugs.

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