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 ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.

The Sun’ll come out tomorrow, and you no longer have to bet your bottom dollar to be sure of it. Google’s DeepMind team released its latest weather prediction model this week, which outperforms a ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...