Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A new article published in Nature Medicine has shown how a new AI model can be used to predict future disease risk, including ...

AI can use sleep data from a single night to identify patterns linked to disease risk years before symptoms appear.

Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

As detailed in a recently released paper, the SleepFM AI model analyzes a comprehensive suite of physiological recordings to ...

Corsera, which emerged in September 2025, aims to extend healthspan by reducing the risk of atherosclerotic cardiovascular ...

Furthermore, lipoprotein (a), a protein that lives in the wall surrounding cholesterol particles, is another marker that can ...

Chase Markel, a University of Wyoming Ph.D. student from Wheatland, is harnessing artificial intelligence to transform how animal scientists study risk factors for congestive heart failure in cattle.

(HealthDay News) — A multimodal sleep foundation model based on polysomnography data can predict the risk for multiple conditions, including death, dementia, and myocardial infarction (MI), according ...