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 ...

In the world around us, many things exist in the context of time: a bird's path through the sky is understood as different ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study ...

Microplastics – the tiny particles of plastic shed when litter breaks down – are everywhere, from the deep sea to Mount Everest, and many researchers worry that they could harm human health. I am a ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...

Researchers apply AI and machine learning to livestock waste recycling, improving phosphorus recovery, and advancing ...

Among hospitalized patients with cirrhosis, a machine learning (ML) model enhanced mortality prediction compared with traditional methods and was consistent across country income levels in a large ...