Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

For the past decade, Eko Health has been advancing the use of artificial intelligence to help providers detect the early signs of disease, particularly heart and lung conditions, during routine ...

Heart disease remains the leading cause of death globally, accounting for one in three deaths, yet many of its victims show no obvious warning signs before a life-threatening event. While traditional ...

For almost 60 years, measuring cholesterol levels in the blood has been the best way to identify individuals at high risk of cardiovascular disease. In a new study, led by Chalmers University of ...

A massive study of 200,000 people shows that counting the actual number of cholesterol-carrying particles (apoB) predicts heart attack risk far better than the traditional cholesterol test. Add in a ...