BACKGROUND: Screening for atrial fibrillation (AF) on the basis of AF risk may be more effective. We aimed to develop, ...

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 ...

Researchers at Indiana University School of Medicine have developed and tested a six-point scoring system that can help ...

RESEARCHERS led by scientists from Ateneo de Manila University have developed an artificial intelligence (AI) model that can ...

Select the journal/section where you want your idea to be submitted: Decision-making across healthcare, industry, finance, infrastructure, energy, transportation, and public policy increasingly relies ...