Editorial: Machine learning and AI-driven insights into microbial pathogenesis and drug resistance

Zhi-Kai Yang, Yanming Zhang

Open source

DOI: 10.3389/fcimb.2026.1980955
Published: 2026-09-10
Container: Frontiers in Cellular and Infection Microbiology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fcimb.2026.1980955,
  title = {Editorial: Machine learning and AI-driven insights into microbial pathogenesis and drug resistance},
  author = {Zhi-Kai Yang and Yanming Zhang},
  year = {2026},
  journal = {Frontiers in Cellular and Infection Microbiology},
  doi = {10.3389/fcimb.2026.1980955},
  url = {https://doi.org/10.3389/fcimb.2026.1980955}
}

RIS

TY  - JOUR
TI  - Editorial: Machine learning and AI-driven insights into microbial pathogenesis and drug resistance
AU  - Zhi-Kai Yang
AU  - Yanming Zhang
PY  - 2026
JO  - Frontiers in Cellular and Infection Microbiology
DO  - 10.3389/fcimb.2026.1980955
UR  - https://doi.org/10.3389/fcimb.2026.1980955
ER  -

APA

Yang, Z., & Zhang, Y. (2026). Editorial: Machine learning and AI-driven insights into microbial pathogenesis and drug resistance. Frontiers in Cellular and Infection Microbiology. https://doi.org/10.3389/fcimb.2026.1980955

Source records

crossref · retrieved 2026-11-07T17:45:16.613Z