A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
The American Heart Association and Laerdal Medical further commitment to provide equitable, increased access to high-quality resuscitation training: DALLAS, March 4, 2026 — Millions of people in ...
9don MSN
Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...
A peer-reviewed article in Neurobiology of Learning and Memory is challenging a foundational assumption about how animals and humans form associations between cues and rewards, Rather than relying ...
Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...
Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...
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