A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...
Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
A multi-institutional research team has demonstrated how artificial intelligence and machine learning can optimize therapy selection and dosing for septic shock, a life-threatening complication that ...
A new article published in the Journal of Dental Research explores the development of an integrated data-cleaning and subtype ...
For Lucas Farnung, there is no question more fascinating than how a single fertilized egg develops into a fully-functioning human. As a structural biologist, he is studying this process on the ...
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 ...
As artificial intelligence increasingly becomes a part of daily life, the National Academies are advising the government on AI use, policy, ethics, and innovation. Explore our work, from making ...
Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...
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