In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
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Machine learning could yield faster, cheaper lithium-ion battery development
Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...
Cutting-edge machine learning tools reveal hidden patterns in Alzheimer’s disease mouse behavior, opening the door to innovative treatments targeting neuroinflammation. Study: Machine learning reveals ...
New machine learning study reveals how early-life chronic conditions like arthritis, mood disorders, and hypertension may drive premature death in people with IBD—highlighting critical opportunities ...
The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.
Scientists used a new video-based machine learning tool to pinpoint otherwise-undetectable signs of early disease in mice that were engineered to mimic key aspects of Alzheimer's. Their work sheds ...
Jorge Palop, PhD, and Stephanie Miller, PhD, of Gladstone Institutes review data collected from an open-source machine learning tool called VAME. The tool analyzed video footage of mice to provide new ...
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