WPI researchers use machine learning and brain scans to identify age- and sex-specific anatomical patterns that predict ...
A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with ...
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Physical function metrics improve mortality prediction in elderly heart failure patients
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 ...
Juntendo University researchers have trained a machine learning algorithm to use clinical information and physical function ...
Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...
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 ...
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