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

Collaborators (21)

Author information

Affiliations

  • 1. Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Biomedical Informatics, University of Cincinnati, Cincinnati, Ohio.
      Authors
    • Liu X 1
    (1 author)
  • 2. Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Biomedical Informatics, University of Cincinnati, Cincinnati, Ohio.
      Authors
    • Prasath S 2
    (1 author)
  • 3. Department of Paediatric Laboratory Medicine and Pathobiology, Division of Pathology, The Hospital for Sick Children, Toronto, Ontario, Canada.
      Authors
    • Siddiqui I 3
    • Contributors
      Griffiths AM 3
    (2 authors)
  • 4. SickKids IBD Centre, Division of Gastroenterology, Hepatology and Nutrition, The Hospital for Sick Children, Toronto, Ontario, Canada; Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada.
      Authors
    • Walters TD 4
    (1 author)
  • 5. Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio; Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio.
      Authors
    • Denson LA 5
    (1 author)
    • Show all (6)

ORCIDs linked to this article

Gastroenterology, 02 Feb 2024, 166(5):921-924.e4
https://doi.org/10.1053/j.gastro.2024.01.033 PMID: 38309631 

A comment on this article appears in "A Baby Step or a Real Giant Stride: Histomic Enabled by Artificial Intelligence to Predict Treatment Response in Pediatric Patients With Ulcerative Colitis." Gastroenterology. 2024 May;166(5):730-732. doi: 10.1053/j.gastro.2024.03.004. This article is based on a previously available preprint.

Abstract 

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Full text links 

Read article at publisher's site: https://doi.org/10.1053/j.gastro.2024.01.033

Read article for free, from open access legal sources, via Unpaywall: https://escholarship.org/content/qt2b51s4n2/qt2b51s4n2.pdf?t=sciostUnpaywall

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Funding 

Funders who supported this work.

Crohn's & Colitis Foundation of America

    NIDDK NIH HHS (2)