The functional food industry is shifting from general fortification to precision nutrition. However, conventional methodologies face bottlenecks in bioactive discovery, manufacturing, and delivery. This perspective articulates how artificial intelligence (AI) serves as the central orchestrator to resolve these challenges. We present a roadmap where AI converges with biotechnology: First, AI-driven algorithms and synthetic biology enable the efficient discovery and microbial biosynthesis of high-purity bioactives, replacing traditional agriculture. Second, AI models decode individual metabolic responses, facilitating evidence-based personalized dietary interventions. Third, delivery systems are evolving into autonomous, stimuli-responsive nanosystems capable of closed-loop navigation and real-time feedback. By integrating these pillars, AI transforms functional foods from static supplements into dynamic, closed-loop therapeutic systems. This paradigm shift promises a new era of predictive, personalized, and precisely engineered intelligent nutrition.
Hua Z., Zhang X., Su W., et al. (2026). Advancements in precision nutrition: Targeted strategies for personalized health. Innov. Life4:100191. DOI:10.59717/j.xinn-life.2026.100191
Xu Q., Fu Q., Li Z., et al. (2021). The flavonoid procyanidin C1 has senotherapeutic activity and increases lifespan in mice. Nat. Metab.3:1706−1726. DOI:10.1038/s42255-021-00491-8
Qin K., Liu F., Zhang C., et al. (2025). Systems and synthetic biology for plant natural product pathway elucidation. Cell Rep.44:115715. DOI:10.1016/j.celrep.2025.115715
Jiang B., Gao L., Wang H., et al. (2024). Characterization and heterologous reconstitution of Taxus biosynthetic enzymes leading to baccatin III. Science383:622−629. DOI:10.1126/science.adj3484
Watson J.L., Juergens D., Bennett N.R., et al. (2023). De novo design of protein structure and function with RFdiffusion. Nature620:1089−1100. DOI:10.1038/s41586-023-06415-8
Fu Y., Zhang K., MiaoZ., et al. (2026). Advancing precision nutrition through multimodal data and artificial intelligence. Adv. Sci.13:2198−3844. DOI:10.1002/advs.202521111
Wu X., Oniani D., Shao Z., et al. (2025). A scoping review of artificial intelligence for precision nutrition. Adv. Nutr.16:100398. DOI:10.1016/j.advnut.2025.100398
Luo K., Li Q., Chen S., et al. (2026). Pullulan-stabilized gliadin nanocomplexes loaded with astragaloside IV: Fabrication, characterization and treatment of ulcerative colitis. Carbohydr. Polym.378:124899. DOI:10.1016/j.carbpol.2026.124899
Ma J., Chen K., Zhang X., et al. (2025). A multimodal energy-depletion strategy for cooperative tumor metabolism regulation in enhanced cancer therapy. Biomater. Res. 29:0246. DOI:10.34133/bmr.0246
Wang J., Wen L., Huang Y., et al. (2026). The role of AI in shaping future functional foods: Targeted delivery, biosynthesis, and personalized nutrition. The Innovation Nutrition 1:100014. https://doi.org/10.59717/j.xinn-nutri.2026.100014
Wang J., Wen L., Huang Y., et al. (2026). The role of AI in shaping future functional foods: Targeted delivery, biosynthesis, and personalized nutrition. The Innovation Nutrition1:100014. https://doi.org/10.59717/j.xinn-nutri.2026.100014
Welcome!
To request copyright permission to republish or share portions of our works, please visit Copyright Clearance Center's (CCC) Marketplace website at marketplace.copyright.com.
Share the QR code with wechat scanning code to friends and circle of friends.
Article Metrics
Article views(2203)PDF downloads(935)
Relative Articles
Cited by
Catalog
Export File
Citation
Wang J., Wen L., Huang Y., et al. (2026). The role of AI in shaping future functional foods: Targeted delivery, biosynthesis, and personalized nutrition. The Innovation Nutrition 1:100014. https://doi.org/10.59717/j.xinn-nutri.2026.100014
Wang J., Wen L., Huang Y., et al. (2026). The role of AI in shaping future functional foods: Targeted delivery, biosynthesis, and personalized nutrition. The Innovation Nutrition1:100014. https://doi.org/10.59717/j.xinn-nutri.2026.100014