Capsule & Omics for pRedicting Exacerbation of Crohn's Disease

The research group have previously evaluated the benefit of serial consecutive capsule endoscopy as monitoring tool for Crohn's disease in remission, demonstrating its superior accuracy for disclosing inflammation and for prediction of flares in comparison to other diagnostic modalities such as magnetic resonance enterography and inflammatory biomarkers. Subsequently, deep learning algorithms had developed to provide excellent accuracy for identification and grading of ulcers and intestinal strictures on capsule endoscopy still images. The investigators will advance this knowledge using a parallel two-parts approach.