Search Results - "Labriffe, Marc"

Machine learning algorithms to estimate everolimus exposure trained on simulated and patient pharmacokinetic profiles.

Authors: Labriffe, Marc Woillard, Jean‐Baptiste Debord, Jean et al.

Source: CPT: Pharmacometrics & Systems Pharmacology. Aug2022, Vol. 11 Issue 8, p1018-1028. 11p.

Monte Carlo simulations identify suboptimal PK/PD target attainment with standard maribavir dosing.

Authors: Fromage, Yeleen Sayadi, Hamza Labriffe, Marc et al.

Source: Journal of Antimicrobial Chemotherapy (JAC). Jun2026, Vol. 81 Issue 6, p1-4. 4p.

Urinary proteomics in kidney transplant recipients and influence of demographics and treatments as potential confounders of graft lesions.

Authors: Sauvage, François-Ludovic Labriffe, Marc Anglicheau, Dany et al.

Source: Journal of Pharmaceutical & Biomedical Analysis. Oct2025, Vol. 264, pN.PAG-N.PAG. 1p.

Population pharmacokinetics and Bayesian estimators for intravenous mycophenolate mofetil in haematopoietic stem cell transplant patients.

Authors: Labriffe, Marc Vaidie, Julien Monchaud, Caroline et al.

Source: British Journal of Clinical Pharmacology. Aug2020, Vol. 86 Issue 8, p1550-1559. 10p. 4 Charts, 4 Graphs.

Reducing aztreonam/avibactam waste: insights from Monte Carlo simulations.

Authors: Fromage, Yeleen Sayadi, Hamza Labriffe, Marc et al.

Source: Journal of Antimicrobial Chemotherapy (JAC). Jan2026, Vol. 81 Issue 1, p1-5. 5p.

From empirical caution to precision resumption: model-informed management of a binimetinib overdose in a frail elderly patient.

Authors: Sayadi, Hamza Fromage, Yeleen Labriffe, Marc et al.

Source: European Journal of Clinical Pharmacology. Apr2026, Vol. 82 Issue 4, p1-3. 3p.

Evaluating and leveraging large language models in clinical pharmacology and therapeutics assessment: From exam takers to exam shapers.

Authors: Gérard, Alexandre O. Merino, Diane Labriffe, Marc et al.

Source: British Journal of Clinical Pharmacology. Jun2025, p1. 10p. 3 Illustrations.

Renin-Angiotensin-System Inhibitors for the Prevention of Chemotherapy-Induced Peripheral Neuropathy: OncoToxSRA, a Preliminary Cohort Study.

Authors: Frachet, Simon Danigo, Aurore Labriffe, Marc et al.

Source: Journal of Clinical Medicine. May2022, Vol. 11 Issue 10, p2939-2939. 10p.

To be or not to be, when synthetic data meet clinical pharmacology: A focused study on pharmacogenetics.

Authors: Woillard, Jean‐Baptiste Benoist, Clément Destere, Alexandre et al.

Source: CPT: Pharmacometrics & Systems Pharmacology. Jan2025, Vol. 14 Issue 1, p82-94. 13p.

Estimation of drug exposure by machine learning based on simulations from published pharmacokinetic models: The example of tacrolimus.

Authors: Woillard, Jean-Baptiste Labriffe, Marc Prémaud, Aurélie et al.

Source: Pharmacological Research. May2021, Vol. 167, pN.PAG-N.PAG. 1p.

A Hybrid Algorithm Combining Population Pharmacokinetic and Machine Learning for Isavuconazole Exposure Prediction.

Authors: Destere, Alexandre Marquet, Pierre Labriffe, Marc et al.

Source: Pharmaceutical Research. Apr2023, Vol. 40 Issue 4, p951-959. 9p.

Killing several birds with one stone: A multi‐indication population pharmacokinetic model and Bayesian estimator for enteric‐coated mycophenolate sodium.

Authors: Fromage, Yeleen Sayadi, Hamza Koloskoff, Kevin et al.

Source: British Journal of Clinical Pharmacology. May2025, Vol. 91 Issue 5, p1396-1408. 13p.

A Machine Learning Algorithm to Predict the Starting Dose of Daptomycin.

Authors: Rivals, Florence Goutelle, Sylvain Codde, Cyrielle et al.

Source: Clinical Pharmacokinetics. Aug2024, Vol. 63 Issue 8, p1137-1146. 10p.

Optimization of Ganciclovir and Valganciclovir Starting Dose in Children by Machine Learning.

Authors: Ponthier, Laure Autmizguine, Julie Franck, Benedicte et al.

Source: Clinical Pharmacokinetics. Apr2024, Vol. 63 Issue 4, p539-550. 12p.

Tacrolimus population pharmacokinetics in adult heart transplant patients.

Authors: Paschier, Adrien Destere, Alexandre Monchaud, Caroline et al.

Source: British Journal of Clinical Pharmacology. Dec2023, Vol. 89 Issue 12, p3584-3595. 12p.

Synergizing pharmacometrics and pharmacovigilance for medication error management: the case of secukinumab.

Authors: Fromage, Yeleen Sayadi, Hamza Monchaud, Caroline et al.

Source: European Journal of Clinical Pharmacology. Sep2024, Vol. 80 Issue 9, p1339-1341. 3p.

Application of machine learning to predict tacrolimus exposure in liver and kidney transplant patients given the MeltDose formulation.

Authors: Ponthier, Laure Marquet, Pierre Moes, Dirk Jan A. R. et al.

Source: European Journal of Clinical Pharmacology. Feb2023, Vol. 79 Issue 2, p311-319. 9p. 3 Charts, 4 Graphs.

Optimization of Vancomycin Initial Dose in Term and Preterm Neonates by Machine Learning.

Authors: Ponthier, Laure Ensuque, Pauline Destere, Alexandre et al.

Source: Pharmaceutical Research. Oct2022, Vol. 39 Issue 10, p2497-2506. 10p.

A Machine Learning Approach to Predict Interdose Vancomycin Exposure.

Authors: Bououda, Mehdi Uster, David W. Sidorov, Egor et al.

Source: Pharmaceutical Research. Apr2022, Vol. 39 Issue 4, p721-731. 11p.

A thorough clinical study pipeline to discover and validate biomarkers in kidney transplantation: The European BIOMARGIN program.

Authors: Marquet, Pierre Humeau, Antoine Anglicheau, Dany et al.

Source: Journal of Pharmaceutical & Biomedical Analysis. Sep2025, Vol. 263, pN.PAG-N.PAG. 1p.