The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

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 ...

Cutting-edge machine learning tools reveal hidden patterns in Alzheimer’s disease mouse behavior, opening the door to innovative treatments targeting neuroinflammation. Study: Machine learning reveals ...

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...

New machine learning study reveals how early-life chronic conditions like arthritis, mood disorders, and hypertension may drive premature death in people with IBD—highlighting critical opportunities ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Jorge Palop, PhD, and Stephanie Miller, PhD, of Gladstone Institutes review data collected from an open-source machine learning tool called VAME. The tool analyzed video footage of mice to provide new ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

Scientists used a new video-based machine learning tool to pinpoint otherwise-undetectable signs of early disease in mice that were engineered to mimic key aspects of Alzheimer's. Their work sheds ...