IBDome: An integrated molecular, histopathological, and clinical atlas of inflammatory bowel diseases

The authors aimed to enhance the understanding and management of inflammatory bowel diseases (IBD) through an integrated multi-omic and multimodal analysis of 1,002 clinically annotated patients. They identified distinct inflammatory signatures in Crohn's disease and ulcerative colitis, developed a serum proteomic severity signature, and utilized deep learning to predict histologic disease activity, ultimately creating a publicly available resource to support IBD research.