A machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous recognized categorization methods.

Researchers from The University of Western Australia, working with medtech industry partners Artrya, have developed a new, ...

Researchers may be able to predict cardiovascular disease -- such as arterial fibrillation and heart failure -- in patients by using artificial intelligence (AI) to examine the genes in their DNA ...

A new report from the American Heart Association predicts that at least six in 10 U.S. adults could experience cardiovascular disease within the next 30 years. Learn more about the risk factors.

Cardiovascular disease (CVD) risk prediction models have improved the ability to stratify adults across the CVD risk spectrum ...

Predicting the future risk of heart attack is challenging, particularly in patients with coronary artery disease. Advanced imaging can help: CTA can be used to quantitatively analyse coronary plaque, ...

There are about 135 genes associated with cardiomyopathy and congenital heart conditions that can cause sudden death. | Gene variants linked to heart disease often are not fully understood, making ...

Models using novel biomarkers were the most effective predictors of 10-year risk for atherosclerotic cardiovascular disease in patients with chronic kidney disease, a new study found.