Machine learning for predicting crohn's disease from routine blood tests years before diagnosis: results from the epi-IIRN cohort.

Journal: Journal of Crohn's & colitis
Published Date: Aug 4, 2025

Abstract

OBJECTIVES: In this nationwide study, we used the epi-Israeli Inflammatory Bowel Disease (IBD) Research Nucleus (IIRN) validated cohort to explore the utility of routine blood tests as markers predicting IBD occurrence years before diagnosis.

Authors

  • Raffi Lev-Tzion
    Juliet Keidan Institute of Pediatric Gastroenterology Hepatology and Nutrition, The Eisenberg R&D Authority, Shaare Zedek Medical Center, Jerusalem, Israel.
  • Amir S Dolev
    Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
  • Shira Yuval Bar-Asher
    Juliet Keidan Institute of Pediatric Gastroenterology Hepatology and Nutrition, Shaare Zedek Medical Center, Jerusalem, Israel.
  • Ran Balicer
    Innovation Division, Clalit Health Services, Clalit Research Institute, Tel Aviv-Yafo, Israel.
  • Amir Ben-Tov
    Kahn Sagol Maccabi Research & Innovation Center, Maccabi Healthcare Services, Tel Aviv, Israel.
  • Galia Zacay
    Meuhedet Health Services, Tel-Aviv, Israel, and the Faculty of Medical and Health Sciences, Tel Aviv University, Israel.
  • Eran Matz
    Leumit Health Services, Tel-Aviv, Israel.
  • Iris Dotan
  • Dan Turner
    Juliet Keidan Institute of Pediatric Gastroenterology Hepatology and Nutrition, The Eisenberg R&D Authority, Shaare Zedek Medical Center, Jerusalem, Israel, Faculty of Medicine, The Hebrew University of Jerusalem, Israel.
  • Boaz Lerner
    Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, POB 653, Beer Sheva, Israel.

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