Proceedings of International Conference on Scientific Research and Revolution ICSRR 2026 Title-AI-DRIVEN MICROBIOME PROFILING FOR PRECISION MANAGEMENT OF INFLAMMATORY BOWEL DISEASE

nflammatory bowel disease, or IBD, comprises crohn’s disease and ulcerative colitis, chronic inflammatory disorders mediated by alterations in the human microbiome. Recent studies indicate that imbalance in the microbiome significantly contributes to disease severity and treatment
response in IBD patients. In the current era of next-generation sequencing and other omics-based approaches, artificial intelligence, or AI, has been successfully applied to analyze the human microbiome data to identify
specific microbial patterns to aid in the diagnosis of IBD, disease
classification, and prediction of treatment outcomes. In addition, noninvasive biomarker discovery through stool samples of affected individuals can be achieved, thus enabling a more precise approach to disease management in IBD patients. Though there are certain limitations in
applying AI in microbiome analysis, including data variation and validation, this approach appears to be a promising area of research to improve diagnosis, disease relapse, and treatment of IBD, thus enabling a more precise approach to disease management in affected individuals.