AI glycomics for precision nutrition (IMAGE)
Caption
Schematic illustration of an AI‑glycomics framework for precision nutrition. Multi‑source information—including polysaccharide structures, gut microbiota, host phenotypes, and database resources—is integrated for AI interpretation and machine‑learning modeling. The resulting polysaccharide structure–microbiome response–metabolic output models support function‑oriented formulation design, including personalized nutrition plans, smart capsules, nanocarriers, and hydrogels. Intervention outcomes are subsequently fed back into the system, forming a closed‑loop framework for precision nutritional intervention and iterative optimization.
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Food & Medicine Homology, Tsinghua University Press
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