Age-adjusted machine learning identifies facial skin microbes associated with skin quality among Korean women.

Park S, Kim H-B, Ahn H, Lee G, Song W, Kim M, Park E, Yu BS, Han M, Mun S, Lee D-G, Park CH, Kang S, Jo H, Kim S

DOI: 10.1128/msystems.00840-26
Published: 2026 Sep 22
Container: mSystems
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1128/msystems.00840-26,
  title = {Age-adjusted machine learning identifies facial skin microbes associated with skin quality among Korean women.},
  author = {Park S and Kim H-B and Ahn H and Lee G and Song W and Kim M and Park E and Yu BS and Han M and Mun S and Lee D-G and Park CH and Kang S and Jo H and Kim S},
  year = {2026},
  journal = {mSystems},
  doi = {10.1128/msystems.00840-26},
  url = {https://doi.org/10.1128/msystems.00840-26}
}

RIS

TY  - JOUR
TI  - Age-adjusted machine learning identifies facial skin microbes associated with skin quality among Korean women.
AU  - Park S
AU  - Kim H-B
AU  - Ahn H
AU  - Lee G
AU  - Song W
AU  - Kim M
AU  - Park E
AU  - Yu BS
AU  - Han M
AU  - Mun S
AU  - Lee D-G
AU  - Park CH
AU  - Kang S
AU  - Jo H
AU  - Kim S
PY  - 2026
JO  - mSystems
DO  - 10.1128/msystems.00840-26
UR  - https://doi.org/10.1128/msystems.00840-26
ER  -

APA

S, P., H-B, K., H, A., G, L., W, S., M, K., E, P., BS, Y., M, H., S, M., D-G, L., CH, P., S, K., H, J., & S, K. (2026). Age-adjusted machine learning identifies facial skin microbes associated with skin quality among Korean women.. mSystems. https://doi.org/10.1128/msystems.00840-26

Source records

pubmed · retrieved 2026-09-25T13:40:17.496Z