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Reducing bias and enhancing equity in AI-enabled precision nutrition: addressing measurement error across wearables, multiomics, and dietary data — Europe PMC PMID:42328276

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/42328276
DOI: 10.3389/fdgth.2026.1805704
License (as archived): solo-consultazione
Archived: 2026-10-07T21:15:07.234Z
SHA-256 of the archived text: 654e4b7ff234ffb8d2704c285d308d5ba7775720106e3944ff1b7113cc30a96f
Stable URL of this page: https://metraipolis.com/documento/dc_43cf2ea1ecaa

How to cite

Reducing bias and enhancing equity in AI-enabled precision nutrition: addressing measurement error across wearables, multiomics, and dietary data — Europe PMC PMID:42328276 — Europe PMC (en), https://europepmc.org/article/MED/42328276 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_43cf2ea1ecaa (Metraipolis archive dc_43cf2ea1ecaa, sha256 654e4b7ff234ffb8d2704c285d308d5ba7775720106e3944ff1b7113cc30a96f)

BibTeX

@misc{dc43cf2ea1ecaa,
  title = {Reducing bias and enhancing equity in AI-enabled precision nutrition: addressing measurement error across wearables, multiomics, and dietary data — Europe PMC PMID:42328276},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/42328276},
  note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_43cf2ea1ecaa; sha256 654e4b7ff234ffb8d2704c285d308d5ba7775720106e3944ff1b7113cc30a96f},
  year = {2026}
}

Archived text

The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/42328276. Agents can read the archived copy with the MCP tool read_document.