Researchers at the Icahn School of Medicine at Mount Sinai have developed a machine learning tool that can help doctors manage blood sugar levels in patients recovering from heart surgery, a critical but often difficult task in the intensive care unit (ICU). The findings were reported in the May 27 online issue of NPJ Digital Medicine. After cardiac surgery, patients are at risk for both high and low blood sugar, which can lead to serious complications. Managing these fluctuations requires careful insulin dosing, but existing protocols often fall short due to the unpredictable nature of ICU care and differences among patients, say the investigators.

A multi-university team with heavy involvement from industry leaders plans to infuse artificial intelligence into the design process for radio frequency integrated circuits to reduce the difficulty of making these important chips.

Neurons deep in the brain not only help to initiate movement—they also actively suppress it, and with astonishing precision. This is the conclusion of a new study by researchers at the University of Basel and the Friedrich Miescher Institute for Biomedical Research (FMI), published in the journal “Nature”. The findings are especially relevant for better understanding neurological disorders such as Parkinson’s disease.

Zhengzhou University researchers unveil advanced strategies to overcome the commercialization barriers of lithium metal batteries (LMBs). the study highlights six key approaches—electrolyte optimization, artificial solid-electrolyte interfaces (SEI), separator innovation, solid-state electrolytes (SSEs), 3D electrode frameworks, and anode-free designs—to address challenges like dendrite growth, low Coulombic efficiency, and safety risks. By integrating cutting-edge materials science and multi-dimensional protection systems, this work paves the way for next-generation batteries with ultra-high energy density, extended lifespan, and enhanced safety, offering critical insights for advancing sustainable energy storage technologies.