WPI researchers use machine learning and brain scans to identify age- and sex-specific anatomical patterns that predict ...
WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict ...
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Physical function metrics improve mortality prediction in elderly heart failure patients
Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...
When Hend Alqaderiwas studying how saliva could predict the risk of diabetes or the severity of a coronavirus infection, she collected a lot of saliva samples-thousands, measuring hundreds of bacteria ...
Global Digital Biomarkers Market OverviewThe global digital biomarkers market is poised for rapid expansion and is expected ...
Quantum computing, a type of quantum technology, is poised to address pressing challenges in the healthcare sector.
A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.
A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
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