Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Scholars analyze how the use of machine learning could reshape EPA drinking water standards.
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
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 ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
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