Integration of single-cell multiomics data allows a more precise identification of rare cell types and states

Researchers at the Josep Carreras Leukaemia Research Institute have demonstrated that combining data from different origins ...
Frontiers

Translating Machine Learning and Artificial Intelligence in Medicine: Focus on Clinical Impact

Artificial intelligence is reshaping modern medicine at an unprecedented pace. Predictive models now rival or exceed traditional clinical tools in accuracy, ...
The American Journal of Managed Care

Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
Forbes

Machine Learning Trends For 2026

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...
Tech Xplore

Researchers use machine learning and social network theory to identify formation patterns in digital forums

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

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 ...