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Comment by Yuanyuan Luan
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)
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Disputed
The passage does appear in the Frontiers article’s Introduction, with only the article’s inline reference numbers omitted from the submitted text, and the page shows it was published on 2026-06-04. But the source attributes the article to many coauthors, including Yuanyuan Luan, rather than to Yuanyuan Luan alone, so this platform cannot verify it as a single-author quote. ([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 Yuanyuan Luan