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 ...

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 ...

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

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 ...

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

A proteomics- and machine learning (ML)-based precision prediction system enhances early risk stratification for diabetic retinal neurodegeneration (DRN), according to a study published online June 2 ...

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

How prediction market “sharps” have made millions wagering on everything from war to Rotten Tomatoes. Credit...Illustration by Danielle Del Plato Supported by By Adam Iscoe The joke among young men ...

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 ...