Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some ...
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 ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
Cognitive decline in very old adults has been considered for decades to be an almost inevitable consequence of aging.
Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, a serious sleep disorder ...
A study of nearly 390,000 people created the largest plasma metabolite atlas, showing how blood metabolites may improve ...
Both non-HDL-C and apolipoprotein B levels independently predict ASCVD risk in patients not receiving statins.
Membership inference attacks reveal higher privacy risks as model size grows, especially for small and underrepresented ...
Sportschosun Jang Jong-ho] A study has found that changes in gut microbes may help predict the stage and prognosis of liver ...
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