Artificial intelligence in food allergen detection and prediction: advances, methodologies, and challenges.

Li H, Gao M, Li Y, Du Z, Yang S, Jia X, Li Y

DOI: 10.1080/10408398.2026.2684709
Published: 2026 Jun 9
Container: Critical reviews in food science and nutrition
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1080/10408398.2026.2684709,
  title = {Artificial intelligence in food allergen detection and prediction: advances, methodologies, and challenges.},
  author = {Li H and Gao M and Li Y and Du Z and Yang S and Jia X and Li Y},
  year = {2026},
  journal = {Critical reviews in food science and nutrition},
  doi = {10.1080/10408398.2026.2684709},
  url = {https://doi.org/10.1080/10408398.2026.2684709}
}

RIS

TY  - JOUR
TI  - Artificial intelligence in food allergen detection and prediction: advances, methodologies, and challenges.
AU  - Li H
AU  - Gao M
AU  - Li Y
AU  - Du Z
AU  - Yang S
AU  - Jia X
AU  - Li Y
PY  - 2026
JO  - Critical reviews in food science and nutrition
DO  - 10.1080/10408398.2026.2684709
UR  - https://doi.org/10.1080/10408398.2026.2684709
ER  -

APA

H, L., M, G., Y, L., Z, D., S, Y., X, J., & Y, L. (2026). Artificial intelligence in food allergen detection and prediction: advances, methodologies, and challenges.. Critical reviews in food science and nutrition. https://doi.org/10.1080/10408398.2026.2684709

Source records

pubmed · retrieved 2026-09-26T01:25:43.088Z
europe-pmc · retrieved 2026-09-26T01:25:43.099Z