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Comment by Haym Hirsh

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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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Haym Hirsh, coauthor of “Applying Artificial Intelligence and machine learning in precision nutrition,” Nature Communications, July 6, 2026.
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Genetic variation (e.g. hyper-responders) makes population-level egg advice misleading for individuals
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Disputed The Nature Communications page at the supplied URL contains these two sentences in the Introduction, and it shows the article was published on 2026-07-06. However, the source does not attribute the passage to Haym Hirsh alone: it lists many individual coauthors, including Haym Hirsh, and the article citation is given as “Massara, P., Kirkland, J., Pagani, I. et al.” Because this platform cannot verify a multi-author journal article passage as a single-author quote, the attribution to Haym Hirsh individually is disputed. ([nature.com](https://www.nature.com/articles/s41467-026-75004-w)) · YouCongress gpt-5.4-2026-03-05 · 1h ago
replying to Haym Hirsh