10.07.2026
Prevention
$3,753,811.00
36 months
A Population-Based Learning Engine for Detection and Prevention of Preclinical Crohn's Disease
This project will develop and validate a population-based prediction framework for CD, paired with fecal calprotectin screening to confirm persistent inflammation. If successful, the study will establish a scalable pathway for identifying preclinical CD in the general population and generate a uniquely characterized pre-CD cohort and biorepository to support future prevention and biomarker research.