Clinical risk models for predicting risk for atrial fibrillation following stroke may be improved with the addition of a polygenic risk score.

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

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.

The Smith Center for Outcomes Research in Cardiology at BIDMC brings together physicians & researchers to examine pressing ...