Loneliness, poor sleep, and mental stress may quietly increase the risk of developing type 2 diabetes much more than people ...

A new study suggests that AI can analyze routine coronary artery calcium (CAC) scans to measure pericardial fat and ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

Pancreatic cancer rarely announces itself early. It often grows in deep tissue, causes vague symptoms, and reaches medical ...

India, April 3 -- Carbohydrate counting is a key skill for people managing diabetes, especially those using insulin therapy.

hailand deploys wearables for home monitoring, builds national data platforms for seamless sharing, and teams up with partners ...

A machine learning model predicts low-density lipoprotein cholesterol from routine lab data, offering a low-cost way to ...

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...

Abstract: Diabetes mellitus is a chronic condition that continues to rise globally, with Type 2 diabetes being the most prevalent form. Early detection and prediction of diabetes risk are crucial to ...

This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates Random Forest ...