McGill University researchers have developed a new tool to identify heart disease risk in women earlier in life.

A machine learning model improves prediction of type 1 diabetes risk compared with a conventional genetic risk model, particularly in people without high-risk human leukocyte antigen haplotypes.

Heart failure is one of the most prevalent and debilitating cardiovascular conditions, contributing significantly to global ...

A research team has developed an artificial-intelligence model that reads proteins in a blood sample to estimate long-term cardiovascular risk. In study data, the system identified elevated risk for ...

The American Heart Association Predicting Risk of Cardiovascular Disease EVENT (PREVENT) equations were developed from observational research cohorts and electronic health record data and provide ...