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 ...

An algorithm that reads CT reports can spot and categorize complications of diverticulitis and help predict which patients are likely to have a recurrent episode.

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

You're a tourist in Bangkok, tired of crowded spots. You tell your AI agent to plan a seamless day trip to Chiang Mai. It books a quiet flight, ...

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: One characteristic of type 1 diabetes mellitus (T1DM), a chronic autoimmune disease, is the body's incapacity to produce insulin. Blood glucose levels must be constantly monitored and ...