Five digital health startups recently graduated from the accelerator programme of the National University of Singapore Yong Loo Lin School of Medicine and 22Health Ventures. Started as a hackathon ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...

FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...

Heart disease remains the leading cause of death around the world. Every year millions of people die from conditions such as ...

“I’ll worry about my heart health when I’m older.” That may be too late, doctors warn. While the average age for being diagnosed with heart disease in the United States is typically in the mid-60s for ...

More than 99% of people who suffer a heart attack, stroke, or heart failure have at least one risk factor beforehand—yet many have no idea until it’s too late. That’s part of the reason why heart ...

“We don’t want to wait until it is too late,” said Sadiya Khan, professor of cardiovascular epidemiology Getty A study found that a new online calculator can determine a young adult's 30-year risk of ...

Scientists have identified a gut microbiota profile that can help forecast future cardiovascular events in patients with heart disease, paving the way for more personalized treatment and early ...