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The team employed machine learning to develop two computerized models that can “fine tune” the screening of individual pediatric patients who using other screening methods had already been classified as being at low risk for adverse effects from anesthesia by another scoring system.
Researchers from three Central Florida medical institutions Johns Hopkins All Children’s, the H. Lee Moffitt Cancer Center and Research Institute, and the AdventHealth Translational Research Institute for Diabetes and Metabolism co-sponsored the conference which brought together researchers from Central Florida and from around the country.