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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Gastroenterol. Dec 28, 2026; 32(48): 119352
Published online Dec 28, 2026. doi: 10.3748/wjg.119352
Application of spatial omics, multi-omics, and artificial intelligence in inflammatory bowel disease: Current applications and emerging opportunities
Charles Adolfu Shirima, Gibson Albert Sabuholo, Lucia Bubulac, Priya Patel, Gratiela Gradisteanu Pircalabioru
Charles Adolfu Shirima, Faculty of Biology, University of Bucharest, Bucharest 030014, Romania
Gibson Albert Sabuholo, School of Biological and Biomedical Sciences, College of Life Sciences, University of Leicester, Leicester LE1 7RH, United Kingdom
Lucia Bubulac, Faculty of Medicine, University of Medicine and Pharmacy “Carol Davila”, Bucharest 050474, Romania
Priya Patel, Department of Biotechnology, Shri Meghmani Umiya Science College, Ahmedabad 380060, Gujarāt, India
Gratiela Gradisteanu Pircalabioru, Department of Botany and Microbiology, Faculty of Biology, University of Bucharest, Bucharest 030014, Romania
Gratiela Gradisteanu Pircalabioru, eBio-hub Centre of Excellence in Bioengineering, UNSTPB, Bucharest 060042, Romania
Author contributions: Shirima CA and Sabuholo GA wrote the original draft; Shirima CA and Gradisteanu Pircalabioru G created tables; Gradisteanu Pircalabioru G created the figures; Shirima CA, Gradisteanu Pircalabioru G, Sabuholo GA, and Bubulac L conceptualized the study; Shirima CA, Sabuholo GA, Bubulac L, Patel P, and Gradisteanu Pircalabioru G contributed to the writing of the final version of the manuscript; all authors read and approved the final manuscript.
AI contribution statement: Grammarly was used. English is not our first language, so we used Grammarly only for grammar correction, minor polishing, and paraphrasing to improve language clarity.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
Corresponding author: Gratiela Gradisteanu Pircalabioru, PD, Associate Professor, Department of Botany and Microbiology, Faculty of Biology, University of Bucharest, sos Panduri 90, Bucharest 030014, Romania. gratiela.gradisteanu@icub.unibuc.ro
Received: January 26, 2026
Revised: February 20, 2026
Accepted: May 9, 2026
Published online: December 28, 2026
Processing time: 282 Days and 10.4 Hours
Core Tip

Core Tip: Inflammatory bowel disease (IBD), including Crohn’s disease and ulcerative colitis, arises from complex, spatially organized interactions between host genetics, immune responses, epithelial integrity, and the intestinal microbiota. Emerging multi-omics and spatial-omics technologies now enable high-resolution, tissue-context-preserved profiling of these processes, revealing disease-defining cellular niches and host-microbiome interactions. Artificial intelligence (AI) provides a critical framework for integrating high-dimensional datasets, uncovering non-linear relationships, and translating molecular complexity into clinically actionable insights. The convergence of multi-omics, spatial-omics, and AI holds strong promise for precision medicine in IBD, enabling improved disease stratification, identification of spatial biomarkers for progression and cancer risk, and the development of next-generation, non-animal disease models.

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