Oral dysbiosis: methodological evolution, the mobile resistome and the future of machine learning in dentistry.

Lynch J, Bradshaw D, Hawkins R, Howlin R, Pavitt S, Do T

DOI: 10.1080/20002297.2026.2717773
Published: 2026
Container: Journal of oral microbiology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1080/20002297.2026.2717773,
  title = {Oral dysbiosis: methodological evolution, the mobile resistome and the future of machine learning in dentistry.},
  author = {Lynch J and Bradshaw D and Hawkins R and Howlin R and Pavitt S and Do T},
  year = {2026},
  journal = {Journal of oral microbiology},
  doi = {10.1080/20002297.2026.2717773},
  url = {https://doi.org/10.1080/20002297.2026.2717773}
}

RIS

TY  - JOUR
TI  - Oral dysbiosis: methodological evolution, the mobile resistome and the future of machine learning in dentistry.
AU  - Lynch J
AU  - Bradshaw D
AU  - Hawkins R
AU  - Howlin R
AU  - Pavitt S
AU  - Do T
PY  - 2026
JO  - Journal of oral microbiology
DO  - 10.1080/20002297.2026.2717773
UR  - https://doi.org/10.1080/20002297.2026.2717773
ER  -

APA

J, L., D, B., R, H., R, H., S, P., & T, D. (2026). Oral dysbiosis: methodological evolution, the mobile resistome and the future of machine learning in dentistry.. Journal of oral microbiology. https://doi.org/10.1080/20002297.2026.2717773

Source records

pubmed · retrieved 2026-09-26T06:47:21.294Z