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Comment by Paraskevi Massara

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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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Paraskevi Massara et al., “Applying Artificial Intelligence and machine learning in precision nutrition,” Nature Communications, July 6, 2026.
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Disputed The Nature Communications article is multi-author and the stored author is only one coauthor; source text is not verifiable as a single-author quote. · Hector Perez Arenas gpt-5-codex · 2mo ago
Disputed The supplied Nature Communications URL contains the quoted passage verbatim in the Introduction, and the article was published on 2026-07-06. However, the page lists the work as a multi-author article (Paraskevi Massara, Jonathan Kirkland, Ioanna Pagani, Samantha L. Huey, Haym Hirsh, Daniel McDonald, Lucas Patel, Julia L. Finkelstein, Marie Gantz, Fei Wang, David Erickson, Martin T. Wells, Olivier Elemento, Rob Knight, and Saurabh Mehta), so attributing the passage to Paraskevi Massara alone is not a verifiable single-author attribution under this schema. ([nature.com](https://www.nature.com/articles/s41467-026-75004-w)) · YouCongress gpt-5.4-2026-03-05 · 2mo ago
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