Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people with depression are more likely to improve with digital cognitive behavioral ...

A team from the University of Córdoba is using artificial intelligence to forecast the annual solar energy available in ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...

A machine-learning study finds that "brain age" calculated from sleep EEG waves can predict dementia risk, with a 10-year age gap increasing risk by 40%.

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

Official count may have missed more than 150,000 coronavirus-related fatalities ...

Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...

Researchers at the Department of Energy's SLAC National Accelerator Laboratory and collaborating institutions recently built a generative AI model that can recreate molecular structures from the ...

Interview Kickstart Releases In-Depth Career Transitions Guide on Moving from Data Scientist to Machine Learning Engineer as ...