Analytical Models to Optimize Tacrolimus Dosing in Solid Organ Transplantation: A Systematic Review
Clinical deployment of predictive models for tacrolimus dosing remains uncommon. In research, pharmacokinetic models remain prevalent, with ML approaches showing early incremental promise. Limited external validation raises generalizability concerns. Future research should prioritize outcome-based evaluation metrics rather than error metrics.
Authors
- Nawaf M. Alyahya
- Martin M. Klamrowski (ORCID: https://orcid.org/0000-0002-7544-3135)
- Christopher R. McCudden (ORCID: https://orcid.org/0000-0002-4172-4641)
- Babak Rashidi (ORCID: https://orcid.org/0000-0001-7273-8686)
- Amos Buh (ORCID: https://orcid.org/0000-0002-0732-4193)
- Ran Klein (ORCID: https://orcid.org/0000-0002-4357-3779)
- Stephanie Hoar
- Gregory L. Hundemer (ORCID: https://orcid.org/0000-0003-3559-3531)
- Ayub Akbari (ORCID: https://orcid.org/0000-0002-1388-9799)
- Nandini Biyani
- Elmira Amooei (ORCID: https://orcid.org/0009-0008-3464-1195)
- Haya Almuzirai
- James R. Green
Institutions
- University of Ottawa (CA)
- Ottawa Hospital (CA)
- King Fahd Hospital of the University (SA)
- Canadian Electricity Association (CA)
- Ottawa Hospital Research Institute (CA)
- Carleton University (CA)
- Imam Abdulrahman Bin Faisal University (SA)
Publication Details
- Journal
- Pharmaceutics
- Published
- 2026-03-31
- DOI
- https://doi.org/10.3390/pharmaceutics18040430
- Primary Topic
- Renal Transplantation Outcomes and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ottawa Hospital Research Institute