From Conventional Therapy to Precision Medicine in Inflammatory Bowel Disease: A State-of-the-Art Review

Background/Objectives: Inflammatory bowel disease (IBD) management has evolved from conventional therapies to advanced biologics and targeted small molecules; however, clinical practice often relies on empirical treatment sequencing rather than individualized approaches. The heterogeneity of IBD phenotypes, variable treatment responses, and expanding therapeutic options necessitate a shift toward precision medicine. This review aims to synthesize current evidence on personalizing IBD therapy and provide an implementation framework for clinical practice. Methods: A narrative review was conducted encompassing peer-reviewed literature, recent network meta-analyses, and clinical guidelines. Evidence was gathered on treat-to-target strategies, therapeutic drug monitoring (TDM), clinical decision support systems, artificial intelligence applications, multi-omics platforms (genomics, transcriptomics, microbiome, metabolomics), advanced imaging modalities, and special populations including pediatric patients and pregnant women. Results: Treat-to-target strategies incorporating endoscopic and biochemical endpoints improve long-term outcomes when individualized to patient-disease factors. TDM-guided optimization enhances biologic efficacy and reduces immunogenicity. Emerging AI tools and multi-omics platforms show promise in predicting treatment response and patient stratification. Network meta-analyses provide comparative effectiveness estimates guiding advanced therapy selection in both Crohn's disease and ulcerative colitis. Implementation of precision medicine frameworks remains constrained by regulatory, economic, and technical barriers. Conclusions: Personalizing IBD therapy through integration of precision medicine tools, patient-specific factors, and comparative effectiveness data represents the future of IBD management. Overcoming implementation barriers through standardized frameworks and multidisciplinary collaboration is essential to translate these advances into routine clinical practice.