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

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 ...

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 ...

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

Subtle signs of Alzheimer's disease can emerge decades before a diagnosis - often in the form of irregular behaviors that reflect very early stages of brain dysfunction. But until now, identifying and ...

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

A University of Idaho lab received $1.3 million from the Department of Defense to study early detection methods for ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

Students are increasingly drawn to AI and Machine Learning engineering degrees. While both fields involve computers and data, BTech AI focuses on intelligent systems and problem-solving, encompassing ...