Sedentary behavior (SB) is a major global health concern, necessitating accurate physical activity (PA) intensity monitoring. Conventional machine-learning (ML) methods using accelerometers struggle to generalize due to variability across populations... read more
Deep learning-based models have been widely used to predict electronic health record (EHR) events by exploiting diagnostic characteristics. Despite significant progress, three limitations remain: 1) effectively modeling dynamic relationships among di... read more
IEEE transactions on computational biology and bioinformatics
Mar 3, 2026
Biological age provides a more direct reflection of physiological status than chronological age, serving as a vital measure to evaluate health risks and aging interventions. While steroid metabolomics offers rich information for exploring aging mecha... read more
IEEE transactions on computational biology and bioinformatics
Mar 3, 2026
Essential proteins are fundamental to the reproduction and survival of cells, and if they are killed, the cells will stop reproducing or die. Many computational methods of identifying essential proteins are proposed which fuse a large number of featu... read more
IEEE transactions on bio-medical engineering
Mar 3, 2026
Post-stroke neuromuscular impairment arises from heterogeneous structural and electrophysiological alterations, including disrupted membrane integrity, fiber atrophy, and increased intramuscular fat. These changes substantially alter the resistive-ca... read more
It is widely accepted that bone mineral density affects outcomes for spinal arthrodesis surgeries. Traditional techniques such as dual-energy X-ray absorptiometry (DEXA) historically have been used to screen for osteopenia and osteoporosis. Hounsfiel... read more
Cancer prevention research (Philadelphia, Pa.)
Mar 3, 2026
UNLABELLED: Timely diagnosis and intervention in colorectal cancer are critical to improving patient outcomes and limiting disease progression. Screening of average-risk individuals is essential for detecting tumors at an earlier, more treatable stag... read more
BACKGROUND: Artificial intelligence (AI) tools are widely and freely available for clinical use. Understanding hospitalists' real-world adoption patterns in the absence of organizational endorsement is essential for health care institutions to develo... read more
Early detection of esophageal squamous cell carcinoma (ESCC) is critical for optimizing patient outcomes. Magnifying endoscopy and endoscopic ultrasonography (EUS) serve as established diagnostic modalities. The multimodal ultrasound and magnifying e... read more
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.