Optimizing Mycophenolate Therapy in Renal Transplant Patients Using Machine Learning and Population Pharmacokinetic Modeling
This study demonstrates the potential of integrating machine learning with population pharmacokinetic modeling to improve the understanding of MPA variability and support individualized dosing strategies in renal transplant recipients. The developed PopPK/ML models provide a methodological foundation for future research toward more personalized immunosuppressive therapy.
Authors
- Aleksandra Catić‐Đorđević (ORCID: https://orcid.org/0000-0001-5430-1819)
- Vangelis Karalis (ORCID: https://orcid.org/0000-0003-0492-0712)
- Nikola Stefanović (ORCID: https://orcid.org/0000-0003-2599-7508)
- Anastasia Tsyplakova (ORCID: https://orcid.org/0000-0002-9736-7719)
Institutions
- University of Nis (RS)
- National and Kapodistrian University of Athens (GR)
Publication Details
- Journal
- Medical Sciences
- Published
- 2025-10-20
- DOI
- https://doi.org/10.3390/medsci13040235
- Primary Topic
- Renal Transplantation Outcomes and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00