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All these factors contribute to the complexity and heterogeneity of the disease etiology and pathogenesis leading to major challenges for the scientific community in improving management, medical treatments, genetic risk, and exposome impact. Understanding the interaction(s) among these factors and their effects on the immune system in IBD patients has prompted advances in multi\u2010omics research, the development of new tools as part of system biology, and more recently, artificial intelligence (AI) approaches. These innovative approaches, supported by the availability of big data and large volumes of digital medical datasets, hold promise in better understanding the natural histories, predictors of disease development, severity, complications and treatment outcomes in complex diseases, providing decision support to doctors, and promising to bring us closer to the realization of the \u201cprecision medicine\u201d paradigm. This review aims to provide an overview of current IBD omics based on both individual (genomics, transcriptomics, proteomics, metagenomics) and multi\u2010omics levels, highlighting how AI can facilitate the integration of heterogeneous data to summarize our current understanding of the disease and to identify current gaps in knowledge to inform upcoming research in this field.<\/jats:p>","DOI":"10.1002\/ueg2.12655","type":"journal-article","created":{"date-parts":[[2024,8,31]],"date-time":"2024-08-31T10:14:23Z","timestamp":1725099263000},"page":"1461-1480","source":"Crossref","is-referenced-by-count":56,"title":["Inflammatory bowel disease genomics, transcriptomics, proteomics and metagenomics meet artificial intelligence"],"prefix":"10.1002","volume":"12","author":[{"given":"Anna Lucia","family":"Cannarozzi","sequence":"first","affiliation":[{"name":"Division of Gastroenterology and Endoscopy Fondazione IRCCS Casa Sollievo della Sofferenza  San Giovanni Rotondo 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