Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Adverse neighborhood conditions in early adulthood may raise the risk of early cardiovascular disease decades later.

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

UC Berkeley researchers say a new AI model found a hidden ECG signal that could help doctors identify more people at risk ...

OCHIN researchers describe project designed to improve risk estimates by combining clinical information with patients’ lived ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Mammograms, which are key to detecting breast cancer, could be paired with artificial intelligence to predict heart disease risk, too. Researchers have developed an AI model that scans mammograms to ...

The Commodity Futures Trading Commission purged its ranks, dialed back its enforcement and boosted industries in which President Trump’s family is heavily invested. The building in Washington that ...

A tool developed by the American Heart Association (AHA), proven to accurately predict heart disease risk for Americans, can be applied to the global population, a new study led by NYU Langone Health ...

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, extending the prior DAAE framework beyond static baseline risk. Registry ...

NEW YORK – Researchers at Mount Sinai have created an analytic tool using machine learning that they say can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, ...

A growing body of research shows that diabetes can be stratified into five different subgroups. Researchers at Lund University have now investigated whether a person's genetic predisposition to ...