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Marc Labriffe

Showing results (1-10 of 42) with videos related to

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Therapeutic Drug Monitoring|July 23, 2025
Estimation of Overall Cyclosporine Exposure Using Machine LearningJean-Baptiste Woillard, Marc Labriffe, Pierre Marquet
Clinical Pharmacology and Therapeutics|November 30, 2020
Tacrolimus Exposure Prediction Using Machine LearningJean-Baptiste Woillard, Marc Labriffe, Jean Debord, et al.
Clinical Pharmacology and Therapeutics|February 24, 2021
Mycophenolic Acid Exposure Prediction Using Machine LearningJean-Baptiste Woillard, Marc Labriffe, Jean Debord, et al.
CPT: Pharmacometrics & Systems Pharmacology|May 23, 2022
Machine learning algorithms to estimate everolimus exposure trained on simulated and patient pharmacokinetic profilesMarc Labriffe, Jean-Baptiste Woillard, Jean Debord, et al.
Pharmacological Research|March 29, 2021
Estimation of drug exposure by machine learning based on simulations from published pharmacokinetic models: The example of tacrolimusJean-Baptiste Woillard, Marc Labriffe, Aurélie Prémaud, et al.
Transplantation|December 12, 2022
Can the Area Under the Curve/Trough Level Ratio Be Used to Optimize Tacrolimus Individual Dose Adjustment?Jean-Baptiste Woillard, Caroline Monchaud, Franck Saint-Marcoux, et al.
Pharmaceutical Research|March 29, 2023
A Hybrid Algorithm Combining Population Pharmacokinetic and Machine Learning for Isavuconazole Exposure PredictionAlexandre Destere, Pierre Marquet, Marc Labriffe, et al.
The Journal of Antimicrobial Chemotherapy|December 2, 2025
Reducing aztreonam/avibactam waste: insights from Monte Carlo simulationsYeleen Fromage, Hamza Sayadi, Marc Labriffe, et al.
Journal of Pharmaceutical and Biomedical Analysis|May 13, 2025
Urinary proteomics in kidney transplant recipients and influence of demographics and treatments as potential confounders of graft lesionsFrançois-Ludovic Sauvage, Marc Labriffe, Dany Anglicheau, et al.
Transplantation Direct|October 23, 2025
External Validation of an Easy-to-Use, Adjustable Score for Short- to Long-term Prediction of Kidney Graft FailureMarc Labriffe, Aurélie Prémaud, Maarten Naesens, et al.
Pageof 5

Showing results (1-10 of 42) with videos related to

Sort By:
Pageof 5
Therapeutic Drug Monitoring|July 23, 2025
Estimation of Overall Cyclosporine Exposure Using Machine LearningJean-Baptiste Woillard, Marc Labriffe, Pierre Marquet
Clinical Pharmacology and Therapeutics|November 30, 2020
Tacrolimus Exposure Prediction Using Machine LearningJean-Baptiste Woillard, Marc Labriffe, Jean Debord, et al.
Clinical Pharmacology and Therapeutics|February 24, 2021
Mycophenolic Acid Exposure Prediction Using Machine LearningJean-Baptiste Woillard, Marc Labriffe, Jean Debord, et al.
CPT: Pharmacometrics & Systems Pharmacology|May 23, 2022
Machine learning algorithms to estimate everolimus exposure trained on simulated and patient pharmacokinetic profilesMarc Labriffe, Jean-Baptiste Woillard, Jean Debord, et al.
Pharmacological Research|March 29, 2021
Estimation of drug exposure by machine learning based on simulations from published pharmacokinetic models: The example of tacrolimusJean-Baptiste Woillard, Marc Labriffe, Aurélie Prémaud, et al.
Transplantation|December 12, 2022
Can the Area Under the Curve/Trough Level Ratio Be Used to Optimize Tacrolimus Individual Dose Adjustment?Jean-Baptiste Woillard, Caroline Monchaud, Franck Saint-Marcoux, et al.
Pharmaceutical Research|March 29, 2023
A Hybrid Algorithm Combining Population Pharmacokinetic and Machine Learning for Isavuconazole Exposure PredictionAlexandre Destere, Pierre Marquet, Marc Labriffe, et al.
The Journal of Antimicrobial Chemotherapy|December 2, 2025
Reducing aztreonam/avibactam waste: insights from Monte Carlo simulationsYeleen Fromage, Hamza Sayadi, Marc Labriffe, et al.
Journal of Pharmaceutical and Biomedical Analysis|May 13, 2025
Urinary proteomics in kidney transplant recipients and influence of demographics and treatments as potential confounders of graft lesionsFrançois-Ludovic Sauvage, Marc Labriffe, Dany Anglicheau, et al.
Transplantation Direct|October 23, 2025
External Validation of an Easy-to-Use, Adjustable Score for Short- to Long-term Prediction of Kidney Graft FailureMarc Labriffe, Aurélie Prémaud, Maarten Naesens, et al.
Pageof 5