More than 99% of people who suffer a heart attack, stroke, or heart failure have at least one risk factor beforehand—yet many have no idea until it’s too late. That’s part of the reason why heart ...

New developments in artificial intelligence could use sleep data to predict disease risk, a new study suggests. Stanford Medicine researchers have developed an AI model trained on nearly 600,000 hours ...

Low-dose computed tomography (LDCT) screening is effective in reducing lung cancer mortality by detecting the disease at earlier, more treatable stages. However, high false-positive rates and the ...

Please provide your email address to receive an email when new articles are posted on . A new Fracture Risk Assessment Tool includes information from high-resolution peripheral quantitative CT scans.

A combined model incorporating a genetic risk score and clinical risk factors outperformed the genetic risk score alone in predicting pulmonary fibrosis in patients with early rheumatoid arthritis (RA ...

DecisionDx-SCC test predicts local recurrence and metastasis in high-risk cutaneous squamous cell carcinoma, enhancing personalized treatment decisions. The test categorizes patients into three risk ...

Strong discrimination for total CVD was observed with the base PREVENT equation, with C indexes of 0.764 (White), 0.773 (Asian), and 0.757 (Native Hawaiian and Other Pacific Islander). Marked ...

Researchers developed a scoring tool, known as the Pregnancy Risk Evaluation of Adverse Drug Reactions (PREG‑ADR), to predict which pregnant women were at risk of developing adverse drug reactions ...