A team of researchers from Yale University and other global institutions has developed a patient triage platform powered by artificial intelligence (AI) that can predict the severity and duration of a patient’s illness during a viral outbreak. The platform utilizes machine learning and metabolomics, the study of small molecules related to cell metabolism, data to improve patient management and help allocate resources more efficiently during overwhelming viral outbreaks. The resulting AI triage predictions will model the discharge dispositions (i.e., survival or death probabilities) of patients. This technology is crucial for optimizing patient outcomes and utilizing hospital resources effectively, especially during a pandemic.
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