Machine Learning–Based Prediction of Pediatric Ulcerative Colitis Treatment Response Using Diagnostic Histopathology

Funding

Funding Research reported here was supported by the Crohn's & Colitis Foundation's Clinical Research Investigator-Initiated Awards (award number 879083); National Institutes of Health (P30 DK078392) of the Digestive Diseases Research Core Center in Cincinnati; and PROCTER Scholar Award, Cincinnati Children's Hospital Medical Center. The data and biospecimens from the Predicting Response to Standardized Pediatric Colitis Therapy study (U01DK095745) reported here were supplied by the National Institute of Diabetes and Digestive and Kidney Diseases Central Repository. The content of this work is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The data and biospecimens from the external validation cohort were supplied from The Canadian Children Inflammatory Bowel Disease Network, supported by the Canadian Institutes of Health Research and the Children's Intestinal and Liver Disease Foundation (grant number 27862). Funding Research reported here was supported by the Crohn’s & Colitis Foundation’s Clinical Research Investigator-Initiated Awards (award number 879083 ); National Institutes of Health ( P30 DK078392 ) of the Digestive Diseases Research Core Center in Cincinnati; and PROCTER Scholar Award, Cincinnati Children’s Hospital Medical Center. The data and biospecimens from the Predicting Response to Standardized Pediatric Colitis Therapy study (U01DK095745) reported here were supplied by the National Institute of Diabetes and Digestive and Kidney Diseases Central Repository. The content of this work is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The data and biospecimens from the external validation cohort were supplied from The Canadian Children Inflammatory Bowel Disease Network, supported by the Canadian Institutes of Health Research and the Children’s Intestinal and Liver Disease Foundation (grant number 27862 ).