Contents
Teoreler Acknowledgements

Acknowledgements

The authors express sincere gratitude to the dedicated researchers at the Centre of Excellence for Long-acting Therapeutics (CELT) within the Department of Pharmacology and Therapeutics, University of Liverpool (UoL), for their pivotal role in Teoreler's development. Special appreciation extends to the Computer Science Department (CSD) of UoL, acknowledging their contribution towards the maintenance of this platform. Heartfelt thanks are offered to users who provided invaluable feedback, shaping Teoreler into a more robust tool.

Recognition is extended to the creators of the Julia programming language1 and the Genie Framework2 for furnishing the essential framework for Teoreler's fruition. The authors also acknowledge the unwavering support and hosting provided by sponsors - the Centre of Excellence for Long-acting Therapeutics (CELT) and the University of Liverpool. It is through this collaborative effort and the backing of these institutions that Teoreler has evolved into a sophisticated and accessible tool, poised to make significant contributions to the field of pharmacokinetics.


References

  1. Bezanson J, Karpinski S, Shah VB, A E. Julia: A fresh approach to numerical computing. SIAM Review. 2017;59(1):65-98. https://doi.org/10.1137/141000671
  2. Adrian Salceanu. Genie Framework, 2022. https://genieframework.com/