Many people have no idea what their risk is—until it's too late.

New developments in artificial intelligence could use sleep data to predict disease risk, a new study suggests. Stanford Medicine researchers have developed an AI model trained on nearly 600,000 hours ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

The new model identifies at-risk subgroups and helps guide them toward tailored interventions. The depicted figures wear color-coded outfits matching the DNA double helix railings, symbolizing the ...

Elevated levels of N-terminal pro–B-type natriuretic peptide (NT-proBNP), a key biomarker for diagnosing heart failure, show a nearly fourfold increased risk for atrial fibrillation (AF) in at-risk ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com. Cardiovascular disease remains underdiagnosed and ...

Share on Pinterest Scientists have identified vascular health indicators that may help predict stroke risk. Michael Lutz/Getty Images Changes in the eye can help predict other health concerns in the ...

If people can get advanced warnings that they are at high risk for certain diseases, they might be able to implement lifestyle changes that can reduce the risk of those diseases, or receive treatments ...

By identifying the risk of early substance use, we can improve our chances of preventing it and helping individuals avoid these challenges." To clarify brain mechanisms that prospectively predict ...