A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Researchers at the Icahn School of Medicine at Mount Sinai and others have harnessed the power of machine learning to identify key predictors of mortality in dementia patients. Dementia has emerged as ...
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 ...
In a recent study published in npj Science of Food, researchers developed VirtuousMultiTaste, a machine-learning tool to distinguish between sweet, umami, and bitter tastes based on a compound's ...
The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback