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◆ Advanced Gut & Microbiome Research2026-01-01· Microbiome

Artificial Intelligence‐Enabled Tribiotic Strategies for Gut Microbiota Modulation in Healthy Aging and Personalized Nutrition

Mohammad Nazrul Islam Bhuiyan, Barun Kanti Saha, Mohammed Abdus Satter Miah

原始摘要(英文原文)· Original abstract
The convergence of artificial intelligence (AI) and microbiome science is reshaping strategies for modulating the gut microbiota to support healthy aging and precision nutrition. In this review, we synthesized recent advances in AI‐enabled tribiotic strategies—encompassing probiotics, prebiotics, and postbiotics—with particular emphasis on their discovery, formulation, and personalized application in functional foods. We highlight how machine learning, multiomics integration, and predictive modeling are accelerating the identification of bioactive microbial strains, metabolic pathways, and diet–microbiome interactions relevant to age‐associated physiological decline. Advances in food chemistry, encapsulation technologies, and controlled delivery systems are also discussed for their roles in enhancing stability, targeted release, and bioavailability of tribiotic formulations. In addition, the review critically evaluates regulatory considerations, ethical implications, and consumer acceptance associated with AI‐guided nutritional interventions. Emerging technological frontiers—including 3D food printing, digital nutrition platforms, and real‐time microbiome monitoring—are examined as enabling tools for dynamic and individualized dietary strategies. Collectively, current evidence suggests that integrating AI analytics with multiomics microbiome data and advanced food engineering can enable the rational design of precision tribiotic formulations, representing a promising pathway toward scalable personalized nutrition and functional foods aimed at promoting gut resilience and healthy longevity in aging populations.
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Artificial Intelligence‐Enabled Tribiotic Strategies for Gut Microbiota Modulation in Healthy Aging and Personalized Nutrition — 科研速览 Science Skim