Staying active is one of the most important things you can do for your health. Regular exercise helps you live longer, lowers ...

A new Apple-backed AI model trained on Apple Watch behavioral data can now predict a wide range of health conditions more ...

Researchers trained the WBM using data from the Apple Heart and Movement Study, which has more than 160,000 participants who ...

Researchers use machine learning to predict exercise adherence. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 04 / 250418112823.htm ...

Machine Learning Enhances Aerosol Predictions. 1w. ... and human health. ... Using machine learning resulted in notable reductions in RMSE and MAE and increased EV for aerosol types such as OA, ...

New partnership leverages PREADISAN™, the cutting-edge health prediction platform using machine learning and modern proteomics; Applies novel big data analytics tools to the Abacus portfolio of ...

Please use one of the following formats to cite this article in your essay, paper or report: APA. Sidharthan, Chinta. (2025, January 01). Machine learning reveals how metabolite profiles predict ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

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 ...

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 ...

Machine learning can pick up patterns in how we recover from working out, but it turns out those patterns are different for everyone. Researchers in New Zealand used athlete data to pick up ...