Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify ...

A specific gut microbiota pattern was found to predict new cardiovascular events in patients with coronary heart disease, ...

A new study published in The Journal of the American Heart Association provides insights to improve cardiovascular disease ...

In the near future, doctors may not only be able to identify whether a person is at high risk for a serious, age-related ...

A one-year prospective study found no correlation between atherosclerosis and extremely high cholesterol levels in 100 ...

2025 — Many youth have heart disease risk factors by their late teens, and preventing or addressing these risks early may reduce the risk of developing cardiovascular disease in the future ...

A 2023 study found that exercising in the afternoon — specifically between 11 a.m. and 5 p.m. — reduced the risk of heart disease more so than in the morning or evening, especially for men and ...

Adverse cardiovascular outcomes can be predicted in patients with coronary artery disease with a risk score that includes mental stress outcomes.

Daily Heart Rate Per Step (DHRPS) that shows stronger associations with identifying cardiovascular disease (CVD) risk than traditional indicators such as step counts or average heart rate.