The microbiome has emerged as a critical focus in disease management, particularly through the profiling of gut microbiota, which holds significant potential to advance modern healthcare. In the era of intelligent systems, the integration of artificial intelligence (AI) with multi-omics data is giving rise to “smart microbiomes,” dynamic, data-driven frameworks that enable deeper biological insight. These developments are poised to accelerate drug and probiotic discovery and support more effective, personalized approaches to disease prevention and treatment. However, there remains a pressing need for rigorous academic research that not only examines these developments but also translates them into practical, real-world solutions for the future of personalized medicine. Smart Microbiomes for Personalized Medicine provides a comprehensive exploration of the smart microbiome, highlighting emerging approaches for integrating AI with microbiome analysis. Adopting an interdisciplinary perspective, the book examines the clinical potential of smart microbiome applications while also addressing the current ethical, regulatory, and social considerations shaping their use in healthcare. Covering topics such as gut microbiomes, cancer risk prediction, and drug-microbiota research, this book is a critical academic resource for graduate and doctoral students, microbiologists, computational biologists, biotechnology professionals, R&D leaders, policymakers, and more.
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