Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...