Estimation of Ganciclovir Exposure in Adults Transplant Patients by Machine Learning
XGBoost ML models accurately estimated GCV AUC0-24 h from limited samples and CrCL, providing a strategy for optimized therapeutic drug monitoring.
Authors
- Cyrielle Codde (ORCID: https://orcid.org/0009-0003-3831-1904)
- Pierre Marquet (ORCID: https://orcid.org/0000-0001-7698-0760)
- Yeleen Fromage (ORCID: https://orcid.org/0009-0002-3356-557X)
- Jean‐Baptiste Woillard (ORCID: https://orcid.org/0000-0003-1695-0695)
- Marc Labriffe (ORCID: https://orcid.org/0000-0001-5840-8904)
- Pierre‐André Billat (ORCID: https://orcid.org/0000-0002-0280-0111)
- Hamza Sayadi
- Selim Arraki Zava (ORCID: https://orcid.org/0009-0007-3161-4493)
Institutions
- Inserm (FR)
- Centre Hospitalier Universitaire de Limoges (FR)
- Institut national de l'environnement industriel et des risques (FR)
- Hôpital Dupuytren (FR)
- Université de Limoges (FR)
Publication Details
- Journal
- The AAPS Journal
- Published
- 2025-02-28
- DOI
- https://doi.org/10.1208/s12248-025-01034-9
- Citations
- 5
- Primary Topic
- Cytomegalovirus and herpesvirus research
- Type
- article
- Field-Weighted Citation Impact
- 6.77
Funders
- Agence Nationale de la Recherche
- Université de Limoges