Tiny RNA molecules carried by extracellular vesicles in the bloodstream can accurately predict kidney function decline and cardiovascular risk in chronic kidney disease (CKD), as reported by ...

A blood test measuring inflammation is now being used by cardiologists to predict heart problems, alongside traditional cholesterol tests.

AI-enabled coronary CT angiography reveals total plaque burden beyond calcium scores, improving risk prediction and personalizing cardiovascular prevention.

New research by Cleveland Clinic and Dyania Health demonstrates how a medically trained large language model system can accurately and efficiently screen electronic medical records (EMRs) to identify ...

Time series electrocardiography combined with AI predicted cardiac arrest with remarkable accuracy. Discover how this ...

Sleep is one of medicine's underused data streams. Clinically, disturbed sleep has often been treated as a symptom of a disorder, but sleep is also a physiological state in which brain, cardiac, ...

Clinical measures and biomarkers during pregnancy, including hs-cTnI and sFlt-1, can help identify women at higher risk of developing cardiovascular disease later in life.