Saliva MicroAge: A salivary microbiome based machine learning model for noninvasive aging assessment and health state prediction.

Xu T, Niu Y, Deng C, Cheung Y, Li Y, Hu Z, Sun S, Chen Y, He F, Yang G, Chen F, Duan C, Huang Y, Deng X

Open source

DOI: 10.1002/imo2.70040
Published: 2025 Dec
Container: iMetaOmics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/imo2.70040,
  title = {Saliva MicroAge: A salivary microbiome based machine learning model for noninvasive aging assessment and health state prediction.},
  author = {Xu T and Niu Y and Deng C and Cheung Y and Li Y and Hu Z and Sun S and Chen Y and He F and Yang G and Chen F and Duan C and Huang Y and Deng X},
  year = {2025},
  journal = {iMetaOmics},
  doi = {10.1002/imo2.70040},
  url = {https://doi.org/10.1002/imo2.70040}
}

RIS

TY  - JOUR
TI  - Saliva MicroAge: A salivary microbiome based machine learning model for noninvasive aging assessment and health state prediction.
AU  - Xu T
AU  - Niu Y
AU  - Deng C
AU  - Cheung Y
AU  - Li Y
AU  - Hu Z
AU  - Sun S
AU  - Chen Y
AU  - He F
AU  - Yang G
AU  - Chen F
AU  - Duan C
AU  - Huang Y
AU  - Deng X
PY  - 2025
JO  - iMetaOmics
DO  - 10.1002/imo2.70040
UR  - https://doi.org/10.1002/imo2.70040
ER  -

APA

T, X., Y, N., C, D., Y, C., Y, L., Z, H., S, S., Y, C., F, H., G, Y., F, C., C, D., Y, H., & X, D. (2025). Saliva MicroAge: A salivary microbiome based machine learning model for noninvasive aging assessment and health state prediction.. iMetaOmics. https://doi.org/10.1002/imo2.70040

Source records

pubmed · retrieved 2026-09-25T03:10:44.894Z
europe-pmc · retrieved 2026-09-25T03:10:44.921Z
doaj · retrieved 2026-09-25T03:10:44.904Z