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 ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
A new machine learning tool has identified more than 250,000 cancer research papers that may have been produced by so-called ...
Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...
A University of Idaho lab received $1.3 million from the Department of Defense to study early detection methods for post-traumatic stress disorder and military family stressors using machine learning ...
Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine ...
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Machine-learning analysis reclassifies armed conflicts into three new archetypes
A new study uses machine learning to reveal hidden conflict patterns.
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