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 ...
Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
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 ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global ...
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