Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Researchers analyzed data from middle-aged workers who had received Specific Health Guidance -- a revolutionary system implemented by the Japanese Ministry of Health, Labor, and Welfare to improve ...
Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...
When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...
MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...
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