A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...

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 Multimodal Model for Delirium Risk Stratification. JAMA Network Open, 2025; 8 (5): e258874 DOI: 10.1001/jamanetworkopen.2025.8874 ...

GenCast outperformed ENS, the ECMWF’s leading weather prediction model, on 97.2% of targets across different weather variables. With lead times greater than 36 hours, GenCast was more accurate ...

“Our deep learning model enable to provide near-real-time probability maps of landslide occurrence immediately following an earthquake without any prior labels” says Prof. Fan.