Wearable AI doctors: self-powered intelligent technology for personalized healthcare
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Oct-2026 11:16 ET (30-Oct-2026 15:16 GMT/UTC)
A team led by the Beijing Institute of Technology presents a unified framework in National Science Review for personalized healthcare termed self-powered intelligence. It describes how on-device AI, flexible electronics, and body-based energy harvesting can be co-designed into wearable patches and implantable sensors, enabling them to analyze physiological signals in real time, predict health risks, for continuous and personalized healthcare.
A research paper just published in Science China Life Sciences reports single-nucleus RNA sequencing (snRNA-seq) as a powerful technology that, for the first time at single-cell resolution, reveals the spatiotemporal pattern of hydrogen sulfide (H2S) signaling in Chinese cabbage (Brassica rapa L. ssp. pekinensis) leaves, which mediates precise control of the intracellular transcriptional reprogramming and drought tolerance mechanisms.
Professor Yong-Hoon Kim's research team in the School of Electrical Engineering identifies the quantum mechanical limits of transistor miniaturization and contact resistance in next-generation semiconductor chips.
World's first computational design platform capable of predicting atomic-level scaling limits of transistors prior to actual fabrication.
A study of a new AI model examining 30 years of routine electronic health records (EHR) data could improve screening for primary aldosteronism, a leading cause of high blood pressure that is often unrecognized but increases patients’ risk of cardiovascular complications, according to a study being presented Saturday at ENDO 2026, the Endocrine Society’s annual meeting in Chicago, Ill.