Predicting resistance to hydroxyurea therapy in patients with polyphysiology: Machine learning study (PV-AIM) verified in the prospective phase-intervention IV trial (HU-F-aim) | LeukemiaNature
ML model using CCTA, MRI data predicts MACE in cardiac patientsAunt Minnie
Machine learning identification of Gleason score below GG3 and above GG4 in diagnosis of HSPC patients | Scientific ReportNature.com
Machine learning tool uncovers rapidly progressing knee osteoarthritis in young patientshelio
Artificial intelligence (AI) is transforming the healthcare landscape by providing tools to help doctors make better decisions and save patients, and recent studies have demonstrated the profound impact AI will…
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comment on this storycomment Add to saved stories keep Alcohol can cause dangerous surgical complications for patients who drink in the days before surgery, but signs of dangerous alcohol use…
With 1.2 million deaths in 2020, accounting for 23% of the total deaths, cancer is the most important disease. 2nd biggest killer in the European Union. This number is even…
Image: Susana Marcos, director of the David R. Williams Center for Visual Sciences and Nicholas George Professor of Optics and Ophthalmology, says computational simulations developed by Rochester researchers predict the…
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