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

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

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

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

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

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