The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...
n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...
David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD than traditional tools.
Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...
A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...
More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...
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