Artificial Intelligence-Driven Multidimensional Phenotyping of Gut Metabolic States for Personalized Prebiotic, Probiotic, and Postbiotic Strategies.

Tóth A, Furka S, Vengríni J, Neogrády P, Bandura A, Dueñas Casas S, Petrovič R, Tomka M, Slopovský J, Furka D

Open source

DOI
10.1002/mnfr.70607
Published
2026 Sep
Container
Molecular nutrition & food research
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1002/mnfr.70607,
  title = {Artificial Intelligence-Driven Multidimensional Phenotyping of Gut Metabolic States for Personalized Prebiotic, Probiotic, and Postbiotic Strategies.},
  author = {Tóth A and Furka S and Vengríni J and Neogrády P and Bandura A and Dueñas Casas S and Petrovič R and Tomka M and Slopovský J and Furka D},
  year = {2026},
  journal = {Molecular nutrition \& food research},
  doi = {10.1002/mnfr.70607},
  url = {https://doi.org/10.1002/mnfr.70607}
}

RIS

TY  - JOUR
TI  - Artificial Intelligence-Driven Multidimensional Phenotyping of Gut Metabolic States for Personalized Prebiotic, Probiotic, and Postbiotic Strategies.
AU  - Tóth A
AU  - Furka S
AU  - Vengríni J
AU  - Neogrády P
AU  - Bandura A
AU  - Dueñas Casas S
AU  - Petrovič R
AU  - Tomka M
AU  - Slopovský J
AU  - Furka D
PY  - 2026
JO  - Molecular nutrition & food research
DO  - 10.1002/mnfr.70607
UR  - https://doi.org/10.1002/mnfr.70607
ER  - 

APA

A, T., S, F., J, V., P, N., A, B., S, D. C., R, P., M, T., J, S., & D, F. (2026). Artificial Intelligence-Driven Multidimensional Phenotyping of Gut Metabolic States for Personalized Prebiotic, Probiotic, and Postbiotic Strategies.. Molecular nutrition & food research. https://doi.org/10.1002/mnfr.70607

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