AI-enabled ECG biological age (ECG-BA) improves disease risk classification beyond chronological age, enhancing early ...

An international team of scientists has uncovered nearly a dozen genes linked to the buildup of calcium in coronary arteries, ...

Developed by Northwestern Engineering’s Igor Efimov and George Washington University’s Luyao Lu, the implantable device uses ...

The proposed model extracts the pertinent features using an RFE with a Logistic Regression classifier and evaluates the feature significance in Parkinson’s disease prediction using eXplainable ...

The test is noninvasive, using 10 electrodes attached to the body that transmit your heart's electrical activity to an ECG machine that creates the characteristic wave patterns. ECGs can be used to ...

Heart attacks stem from long-term unhealthy habits, but small daily adjustments can lower the risk. Protecting your heart doesn’t require drastic changes; it’s all about making better choices ...

The genomic drivers of coronary artery disease (CAD) are associated with the presentation of acute coronary syndromes and the severity and burden of angiographic CAD; these drivers also predict ...

This is the first study to comprehensively investigate the effects of fatty muscles on heart disease. The new finding adds evidence that existing measures, such as body mass index or waist ...

Coupled with strong leadership and innovative product offerings, this prediction seems more grounded than wishful thinking. Fast-forward to 2026 and Palantir's stock is forecast to hit $87.04 ...

To address this, CVD prevention plans rely on prediction models like atherosclerotic cardiovascular disease (ASCVD) risk scores to estimate the risk of heart disease. However, previous studies ...

The researchers found that circadian patterns of heart ... algorithms using wearable device data to predict flares on an individualized basis. "These findings open the door to leveraging wearable ...