A stroke metabolite score comprising 4 validated metabolites improves ischemic stroke risk prediction beyond traditional risk factors in women.
Researchers at MUSC Hollings Cancer Center have developed a machine learning tool to identify cancer patients who may be at high risk for financial toxicity—the financial stress and hardship that can ...
New developments in artificial intelligence could use sleep data to predict disease risk, a new study suggests. Stanford Medicine researchers have developed an AI model trained on nearly 600,000 hours ...
A combined model incorporating a genetic risk score and clinical risk factors outperformed the genetic risk score alone in predicting pulmonary fibrosis in patients with early rheumatoid arthritis (RA ...
We found four breast cancer risk prediction models that had been tested enough times to evaluate in detail. These were the Gail, Tyrer-Cuzick, BOADICEA, and BRCAPRO models. The BOADICEA model was one ...
Researchers have developed artificial intelligence (AI) models that can scrutinize electronic health records (EHR) and electrocardiograms to identify individuals in the general population at elevated ...
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Share on Pinterest Recent research is highlighting different approaches that may better predict diabetes risk than current methods. Image credit: Narumon Bowonkitwanchai/Getty Images About every 1 in ...
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