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

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 ...

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

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 ...

Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...

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 ...

Generalizable machine learning prediction models were developed using 4 algorithms: logistic regression, decision tree, random forest, and eXtreme Gradient Boosting. HealthDay News — In a diagnostic ...

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 ...