Researchers at Saudi Electronic University have developed XCardioPulmoNet, an explainable deep learning framework that ...
Machine learning models utilizing cardiovascular and lifestyle factors can accurately predict the 10-year risk of dementia in both men and women.
Researchers trained seven machine-learning models on structured ECG reports from more than 11,000 hospitalized children and ...
Plasma metabolomic profiling across the human life span yields two aging metrics linked to chronic disease and mortality.
A research team supported by the National Institutes of Health (NIH) has found that electrocardiograms (ECGs) administered ...
An NIH-supported study finds deep learning can use ECGs from sleep studies to predict long-term cardiovascular risk and ...
A Microsoft Research-led team published a study in Nature on October 14, 2026, introducing probabilistic bias correction (PBC ...
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