Insights into the Complexities of Pharmacotherapy Parameters in Artificial Intelligence Models for Drug Selection, Precision Personalised Medicine and Optimal Therapeutic Outcomes

Malamati Kourti, Lefteris Zacharioudakis, Annita Kolnagou, Iliada Evripidou, George J. Kontoghiorghes

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DOI: 10.3390/pharmaceutics18091157
Published: 2026-09-15
Container: Pharmaceutics
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/pharmaceutics18091157,
  title = {Insights into the Complexities of Pharmacotherapy Parameters in Artificial Intelligence Models for Drug Selection, Precision Personalised Medicine and Optimal Therapeutic Outcomes},
  author = {Malamati Kourti and Lefteris Zacharioudakis and Annita Kolnagou and Iliada Evripidou and George J. Kontoghiorghes},
  year = {2026},
  journal = {Pharmaceutics},
  doi = {10.3390/pharmaceutics18091157},
  url = {https://doi.org/10.3390/pharmaceutics18091157}
}

RIS

TY  - JOUR
TI  - Insights into the Complexities of Pharmacotherapy Parameters in Artificial Intelligence Models for Drug Selection, Precision Personalised Medicine and Optimal Therapeutic Outcomes
AU  - Malamati Kourti
AU  - Lefteris Zacharioudakis
AU  - Annita Kolnagou
AU  - Iliada Evripidou
AU  - George J. Kontoghiorghes
PY  - 2026
JO  - Pharmaceutics
DO  - 10.3390/pharmaceutics18091157
UR  - https://doi.org/10.3390/pharmaceutics18091157
ER  -

APA

Kourti, M., Zacharioudakis, L., Kolnagou, A., Evripidou, I., & Kontoghiorghes, G. J. (2026). Insights into the Complexities of Pharmacotherapy Parameters in Artificial Intelligence Models for Drug Selection, Precision Personalised Medicine and Optimal Therapeutic Outcomes. Pharmaceutics. https://doi.org/10.3390/pharmaceutics18091157

Source records

crossref · retrieved 2026-09-26T15:35:32.810Z