A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

The Forecast 2026 project pits soccer fans against AI and statistical models to see who predicts the 2026 World Cup match ...

Following expanded FDA approval for pediatric patients, the over-the-counter Stelo continuous glucose monitor is adding AI ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Chronic wounds remain a major health care challenge, especially for people with diabetes, who often experience delayed ...

Chronic wounds remain a major healthcare challenge, especially for people with diabetes, who often experience delayed healing ...

Chronic diabetic wounds heal slowly and are highly vulnerable to infection. Researchers have developed an AI-guided, 4D-printed microneedle patch that actively closes wounds, fights bacteria, and ...

AI-designed microneedles bend at body temperature to close diabetic wounds while delivering DNA therapy and antibacterial ...

FRIDAY, June 12, 2026 (HealthDay News) -- A proteomics- and machine learning (ML)-based precision prediction system enhances early risk stratification for diabetic retinal neurodegeneration (DRN), ...

A major clinical trial involving 50 hospital intensive care units (ICUs) throughout New Zealand and Australia will test if ...

Study: AI-genomics synergy for drug repurposing in breast cancer: an interpretability-driven framework. Image Credit: ProStockStudio / Shutterstock In a recent review published in the journal npj ...