A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
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, ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
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 ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...