A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease ...
A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...
A machine learning model may be a valid method of determining the risk for recurrence of MS among individuals who discontinue ...
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MRI age clocks reveal how each organ ages differently and predict who develops disease or lives longer
Researchers developed seven MRI-based biological age clocks across major organs using UK Biobank imaging, linking each to ...
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