The potential of big data analytics (BDA) to transform the prevention, diagnosis, and treatment of cardiovascular diseases ...

For almost 60 years, measuring cholesterol levels in the blood has been the best way to identify individuals at high risk of cardiovascular disease.

An automated machine-learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the ...

Coronary artery disease (CAD) is the leading cause of death in the United States. Although effective preventive treatments ...

THE role of lipids as predictors of coronary heart disease has become of considerable interest during the past two decades. Many individual lipids, such as the serum cholesterol, phospholipid and ...

A new approach to a routine blood test could predict a person’s 30-year risk of heart disease ... patients’ risk for ...

To diagnose certain heart conditions, especially coronary artery disease, healthcare providers often use stress tests, which measure how the heart performs while walking on a treadmill.

An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing.