Adverse neighborhood conditions in early adulthood may raise the risk of early cardiovascular disease decades later.

A smartwatch-based AI algorithm shows high accuracy in predicting rises in levels of N terminal pro-B type natriuretic ...

The tools may help address underdiagnosis in this area, though there is still room for improvement in screening performance.

A 2026 State-of-the-Art review updates the ABCs of cardiovascular disease prevention to help clinicians apply contemporary risk assessment, lifestyle, pharmacologic, and cardiometabolic strategies in ...

By analysing over 440,000 ECG records, the researchers found a hidden electrical pattern in the waveforms that identifies ...

Researchers at the University of Hong Kong’s medical school have built an AI system that reads a single blood sample and ...

User Input (web form) │ Preprocessing (StandardScaler) │ Trained ML Model (Logistic Regression / KNN / SVM / Random Forest) │ Prediction + Risk Probability → displayed on screen Three independent ...

An end-to-end Machine Learning project that predicts the likelihood of heart disease using patient health parameters. The project covers the complete machine learning workflow including data ...