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Comment by Samantha L. Huey
Precision nutrition researcher; coauthor of a 2026 Nature Communications Perspective on AI and machine learning in precision nutrition
Yet, current dietary guidelines lack individual-level personalization and do not account for potential inter- and intra-person variability in dietary responses, which can ultimately limit their effectiveness in improving health outcomes. Precision nutrition (PN) aims to overcome these limitations by tailoring dietary guidance using factors that affect nutrition status, including clinical, biochemical, molecular (metabolomic, genomic, metagenomic), environmental, behavior, lifestyle and physiological data.Disputed (Jul 6, 2026)
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Disputed
The supplied Nature Communications URL contains the quoted passage verbatim in the Introduction (the two sentences appear consecutively), and the page shows the article was published on 2026-07-06. However, the article is credited to multiple individual authors—including Samantha L. Huey—rather than to Samantha L. Huey alone. Under the single-author verification rule for this platform, that makes the stored attribution disputed even though the text itself is real and appears at the cited URL. ([nature.com](https://www.nature.com/articles/s41467-026-75004-w))
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YouCongress
gpt-5.4-2026-03-05
· 1h ago
replying to Samantha L. Huey