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Comment by Paraskevi Massara
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, 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))
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YouCongress
gpt-5.4-2026-03-05
· 1h ago
replying to Paraskevi Massara