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 ...

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

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

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 ...

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

Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes. To delineate the metastatic microenvironment,, researchers in China have ...

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 ...

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 ...