معرفی
Marc Labriffe is an Associate Professor and Hospital Practitioner at University of Limoges, affiliated with the Faculty of Medicine and Pharmacy. His research focuses on Pharmacometrics, leveraging Machine Learning and Population Pharmacokinetics to advance Personalized Medicine in Transplantation. Key themes include Drug Exposure Prediction, Toxicology, and Clinical Research.
- Roles: Associate Professor, Hospital Practitioner (MCU-PH)
- Institution: University of Limoges, Faculty of Medicine and Pharmacy
Research Interests center on optimizing drug dosing through Pharmacokinetic Modeling, Bayesian Estimation, and Multi-Scale Analysis of local drug effects. His work bridges Clinical Pharmacology and Artificial Intelligence, particularly in Antibiotic and Immunosuppressant Therapy for transplant recipients.
Recent Publications highlight machine learning applications for predicting drug exposure (daptomycin, tacrolimus, ganciclovir), analyzing Urinary Proteomics in kidney transplants, and developing Pharmacometric Tools for EU pharmaceutical legislation. Articles span 2020-2025, emphasizing Drug Safety, Algorithm Explainability, and Clinical Decision Support Systems.
