A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...

Tiny RNA molecules carried by extracellular vesicles in the bloodstream can accurately predict kidney function decline and cardiovascular risk in chronic kidney disease (CKD), as reported by ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

Juntendo University researchers have trained a machine learning algorithm to use clinical information and physical function ...

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.

February is national American Heart Month and the American Heart Association is spotlighting cardiovascular disease and the need for more lifesavers. This year, the association’s message is anyone can ...

HUAWEI unveiled a new diabetes risk assessment feature at the World Health Expo 2026 in Dubai. The system analyzes physiological markers over three to 14 days using PPG (photoplethysmography) and ...