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

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

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 ...

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

Spinal metastasis, or the spread of cancer to the spine, is a frequent complication of advanced cancer. Surgery may be an option for patients with a favorable prognosis, while palliative care may be ...

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 ...

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 ...

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 ...