Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...
Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiogramsJournal: eBioMedicine ...
Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...
Early detection and molecular characterization of disease progression are persistent challenges in modern medicine. Although genomic and transcriptomic profiling of tissue lesions and precursors has ...
Successful implementation requires modern healthcare infrastructure, including reliable electricity, high-speed internet ...
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