The human brain is known to naturally change with age, shrinking in size and volume after people reach their 30s or 40s. In ...

Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...

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 ...

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

Researchers evaluated whether accelerometer-derived sleep-wake characteristics can enhance dementia risk prediction models in older adults.

Artificial intelligence is transforming how we live and work, from personalized recommendations to health care innovation.

Artificial intelligence hurricane forecast models learn as they go, sharpened 2025 predictions and helped people act sooner when danger came.

Glucose tracking is moving beyond diabetes care as CGMs, AI platforms, and wearable sensors reshape personalized health data and wellness tools. Blood sugar is becoming the next number wellness ...

To this point, determination of genetic risk for Type 1 diabetes mostly has been limited to people with well-known and well-documented risk profiles. But with a machine learning tool created by ...