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Machine learning model boosts success of liver transplants from circulatory death donors
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
Long Yuan, PhD, director of the Department of Drug Metabolism and Pharmacokinetics at Biogen, explains how artificial ...
SANTA CLARA, CA - November 13, 2025 - - As machine learning (ML) systems become increasingly central to industries worldwide, ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...
AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration ...
Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data. This open-source framework, called JAXLEY, combines the precision of ...
A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.
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