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 ...
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, ...
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...
News Medical on MSN
Machine learning advances drug discovery through generalizable models
The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...
Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML ...
Nearly a third of US supercomputer time is spent on molecular modeling, a way to test-drive new drugs and materials on the computer before making them in the lab. The most accurate approach is the ...
The arrival of the 2025 NFL season means more than just making spread or total picks, as it also gives bettors the opportunity to make NFL prop bets on the league's biggest stars. From the 13 games on ...
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