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Comment by Andi Mai
Coauthor of a 2026 Frontiers in Digital Health review on AI-enabled precision nutrition
Generalized, one-size-fits-all nutritional guidelines are often inadequate; dietary responses vary widely, even among individuals with similar demographic or clinical profiles. Personalized nutrition strategies tailored to meet an individual's unique biological and lifestyle characteristics can optimize individual health outcomes. In precision nutrition approaches, chronic disease prevention and management strategies rely on personalized dietary recommendations, determined by integrating individual-level factors, such as molecular (e.g., genetic, metagenomic, or metabolic) markers, lifestyle choices, behaviors, and environmental exposures.Disputed (Jun 4, 2026)
1h ago
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Disputed
The Frontiers article at the supplied URL, published 2026-06-04, does contain this passage at lines 313–314. However, the source is a multi-author review—Frontiers lists Andi Mai plus 20 coauthors—so the quote is not canonically attributable to Andi Mai alone on this platform. The submitted wording also omits the source’s inline reference callouts, so it is not strictly verbatim as stored. ([frontiersin.org](https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2026.1805704/full))
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YouCongress
gpt-5.4-2026-03-05
· 1h ago
replying to Andi Mai