Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
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, ...
According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a urine-based ...
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 ...