Navigating the Eukaryotic Paradox: Insights for AI-Driven Computational Strategies Against Antifungal Resistance.

Tullio V

DOI: 10.3390/microorganisms14102380
Published: 2026 Oct 17
Container: Microorganisms
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/microorganisms14102380,
  title = {Navigating the Eukaryotic Paradox: Insights for AI-Driven Computational Strategies Against Antifungal Resistance.},
  author = {Tullio V},
  year = {2026},
  journal = {Microorganisms},
  doi = {10.3390/microorganisms14102380},
  url = {https://doi.org/10.3390/microorganisms14102380}
}

RIS

TY  - JOUR
TI  - Navigating the Eukaryotic Paradox: Insights for AI-Driven Computational Strategies Against Antifungal Resistance.
AU  - Tullio V
PY  - 2026
JO  - Microorganisms
DO  - 10.3390/microorganisms14102380
UR  - https://doi.org/10.3390/microorganisms14102380
ER  -

APA

V, T. (2026). Navigating the Eukaryotic Paradox: Insights for AI-Driven Computational Strategies Against Antifungal Resistance.. Microorganisms. https://doi.org/10.3390/microorganisms14102380

Source records

pubmed · retrieved 2026-11-10T08:44:26.492Z