Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
More accurate and individualized health predictions will allow for preventative factors to be implemented well in advance.
Discover how artificial intelligence is transforming influenza vaccine development, accelerating timelines and improving ...
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
3:30 p.m. ET. 448. Oct. 11, 2025. 516. WAKE -3. 3-2. The CW. Wake OS. 0-6 The Wake Forest Demon Deacons (3-2, 1-2 ACC) travel to the Pacific Northwest for the first time in program history to take on ...
Introduction Frailty is a common condition in older adults with diabetes, which significantly increases the risk of adverse health outcomes. Early identification of frailty in this population is ...
Aim: We aimed to develop and internally validate a machine learning (ML)-based model for the prediction of the risk of type 2 diabetes mellitus (T2DM) in children with obesity. Methods: In total, 292 ...
Background: Early identification of Type 1 Diabetes Mellitus (T1DM) in pediatric populations is crucial for implementing timely interventions and improving long-term outcomes. Peripheral blood ...
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