A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

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.

A major clinical trial involving 50 hospital intensive care units (ICUs) throughout New Zealand and Australia will test if ...

Scientists have identified a blood-based protein signature that can predict lung cancer risk more than five years before diagnosis. Powered by AI and validated across global datasets, the breakthrough ...

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 NFL schedule has been released, so it's time to look ahead to the upcoming season and predict who's going to be competing in the postseason. Betting odds are available for the 2026 NFL campaign, ...

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, ...

Machine learning often feels difficult at the beginning, especially when everything stays theoretical. That changes once you start working on real projects and see how models are actually used. The ...

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...