Methods: Using the administrative health data of people with IBD who died between 2010 and 2020 in Ontario, Canada, we conducted a population-based, retrospective cohort study. We described the ...

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 ...

Particularly, GNNs exhibit promising performance with minimal prediction errors in voltage drop estimation. The incorporation of GNNs marks a groundbreaking advancement in accurate IR drop prediction.

Credit: Journal of Geophysical Research: Machine Learning and Computation (2025). DOI: 10.1029/2024JH000507 Comparison of FVCOM, ML and FVCOM-ML results for storm surge prediction.

Maybe a study with that data will produce better predictions. For now, the biggest takeaway from the new data—and it’s an important one—is that the factors that predict workout recovery are ...

Early EEG data, machine learning can help predict antidepressant treatment response, finds study by scientists from IIT Madras and Czech Academy of Sciences May 20, 2025, 21:47 IST Share ...

Advances in predictions promised by machine learning matched with physics in latest model involving Google. Accessibility help Skip to navigation Skip to content Skip to footer. Sign In; ...