Researchers report substantial decreases in depression symptoms by tailoring behavioral interventions based on data ...

A huge haul of possible planets has been hiding in NASA data, waiting for scientists to look more closely at faint, ...

Using the second-nearest neighboring atoms to predict metallic glass stability can help researchers more accurately model the disordered solid with strong, elastic properties, according to a recent ...

Machine-learning iMAP coaching track achieves a 55% depression remission rate by personalizing lifestyle targets.

Millions of people are diagnosed with Alzheimer's disease each year, comprising 60% to 70% of dementia cases worldwide. While cognitive impairment and structural brain changes are indicative of ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

"Both studies emphasize our unique approach to using machine learning and big data in academic medicine," said Jason Moore, Ph.D., professor and chair of the Department of Computational Biomedicine at ...

For more than a decade, a fundamental mystery has surrounded graphene—the one-atom-thick “wonder material” known for its ...

Machine learning models could help clinicians estimate individualized risk for major complications among women undergoing ...

A People Analytics study of 205 tech professionals found that promotions, internal mobility, and career momentum are stronger predictors of early attrition than workplace culture.