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Using machine learning to shed light on how well the triage systems work
A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.
Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...
A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
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Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...
News-Medical.Net on MSN
AI-driven ECG improves detection of severe heart attacks
Using artificial intelligence (AI) to analyze electrocardiograms (ECG) improved detection of severe heart attacks, including ...
A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease ...
HealthDay News — Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting of the American Academy of Ophthalmology, held from Oct.
It's not every day that you find Boman Irani in a room full of aspiring writers, but when you do, he's the one doing most of the listening. The actor, filmmaker, and now mentor, attended a writers' ...
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