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 ...

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

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

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...

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

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

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 ...