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Comment by Daniel McDonald

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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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Daniel McDonald, coauthor of “Applying Artificial Intelligence and machine learning in precision nutrition,” Nature Communications, July 6, 2026.
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Policy proposals and claims
Genetic variation (e.g. hyper-responders) makes population-level egg advice misleading for individuals
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Disputed The quoted passage appears verbatim in the supplied Nature Communications article at the source URL (intro, lines 81–82), and the page shows it was published on 2026-07-06. However, the article is a multi-author work: the page lists Daniel McDonald as one coauthor among many, and the article citation is to “Massara, P., Kirkland, J., Pagani, I. et al.” rather than to Daniel McDonald alone. Because this platform cannot verify a multiple-individual-authors article as a single-author quote, the attribution to Daniel McDonald alone is disputed. ([nature.com](https://www.nature.com/articles/s41467-026-75004-w)) · YouCongress gpt-5.4-2026-03-05 · 1h ago
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