Apheris's ADMET Network will combine proprietary datasets in a privacy-preserving environment to accelerate AI drug discovery models.
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Discover how AI is transforming nutritional science by turning complex diet and omics data into predictive tools that reshape chronic disease prevention and personalized care.
Monitoring and treating heart failure (HF) is a challenging condition at any age. Several models, such as Atrial fibrillation, Hemoglobin, Elderly, Abnormal renal parameters, Diabetes mellitus (AHEAD) ...
When your arm moves inside a loose shirt, the fabric does not simply follow along. It ripples, folds, and shifts in ways that ...
There is an emerging convergence between atherosclerotic cardiovascular disease and cancer, driven by shared risk factors and overlapping pathophysiologic mechanisms. Traditional factors, such as ...
Dr. Catherine Prater, postdoctoral researcher at Pennington Biomedical Research Center, has received a two-year fellowship from the American Heart Association. The fellowship includes a grant of more ...
Abstract: Diabetes mellitus is a chronic condition that continues to rise globally, with Type 2 diabetes being the most prevalent form. Early detection and prediction of diabetes risk are crucial to ...
Objective To systematically consolidate the most consistently applicable risk factors and assess their predictive performance for gestational diabetes mellitus (GDM) prediction. Design Systematic ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
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