OBJECTIVE: To review recent advances in the use of artificial intelligence (AI) to address shortcomings in assessing and improving surgical performance/training by automating surgical skills assessment and feedback. METHODS: We searched PubMed for st... read more
Advanced oxidation processes (AOPs) are effective technologies for addressing the growing threat of water pollution to the eco-environment and human health. In spite of continuous improvements in decontamination achieved through laboratory-scale rese... read more
Journal of agricultural and food chemistry
Mar 12, 2026
Xylose isomerase is a promising biocatalyst for lignocellulose valorization, but natural enzymes are limited by a preference for either d-xylose or d-glucose. Here, we integrated ancestral sequence reconstruction with deep learning methods to identif... read more
Tropical peatlands are critical for climate mitigation due to their dual role as major carbon sinks and methane sources. In rainforests, high and stable rainfall supports peat accumulation in tropical climates. However, groundwater-fed peatlands in s... read more
Fuel-cell-type electrochemical gas sensors are attractive for low-power monitoring but often suffer from humidity-sensitive baselines and limited long-term stability in nitrogen dioxide (NO2) detection. Here, we address this challenge by implementing... read more
Quantifying ligand interactions with membrane proteins in their native cellular environment is crucial for understanding cellular processes and drug screening, yet it remains a challenging task. Here, we introduce an artificial intelligence (AI)-driv... read more
Advance care planning (ACP) completion rates remain modest in the United States despite the benefits of ACP to patients' quality of end of life. This mixed methods study explores adults' (N = 203) perspectives on ACP and the potential use of artifici... read more
Lithium intermetallics with channel structures are of interest for energy storage applications. As a major subset of these intermetallics, ternary tetrelides Li-M-Tt (M = metal; Tt = Si, Ge, Sn) were selected to apply machine learning approaches to p... read more
PURPOSE: Primary open-angle glaucoma (POAG) is the leading cause of irreversible blindness. Regrettably, the roles of ferroptosis-related (FR) genes in POAG remain elusive. DESIGN: Five GEO data sets and a series of experimentations in vitro were use... read more
BACKGROUND: The molecular landscape of lung adenocarcinoma (LUAD) is often illustrated as a driver-oncogene "pie chart," but identical mutations exhibit heterogeneous signaling shaped by co-mutations, transcriptional programs, and lineage context. We... read more
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.