Artificial intelligence in personalized nutrition and food manufacturing: a comprehensive review of methods, applications, and future directions
Artificial Intelligence (AI) is emerging as a key driver at the intersection of nutrition and food systems, offering scalable solutions for precision health, smart manufacturing, and sustainable development. This study aims to present a comprehensive review of AI-driven innovations that enable precision nutrition through real-time dietary recommendations, meal planning informed by individual biological markers ( e.g ., blood glucose or cholesterol levels), and adaptive feedback systems. It further examines the i…
AI systems enable precision nutrition by delivering real-time dietary recommendations and meal planning tailored to individual biological markers like blood glucose, and improve food production through quality control and waste minimization.
Implementation faces unresolved issues around transparency, privacy, and equitable access that constrain ethical and scalable deployment.
Evidence
- Peer-reviewedFrontiers in Nutrition2025-07-23
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Truvace Impact Record TRV-2026-0496, v1: “Artificial intelligence in personalized nutrition and food manufacturing: a comprehensive review of methods, applications, and future directions.” Truvace, 2026-07-22. /record/TRV-2026-0496 (accessed at citation time). sha256 ac2f227e9a0de816…
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