According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

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 ...

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

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...