Zobrazeno 1 - 4
of 4
pro vyhledávání: '"François Riglet"'
Autor:
Antoine Pitoy, Solène Desmée, François Riglet, Hoai‐Thu Thai, Zandra Klippel, Dorothée Semiond, Christine Veyrat‐Follet, Julie Bertrand
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 13, Iss 12, Pp 2087-2101 (2024)
Abstract This study aimed at leveraging data from phase I/II clinical trials to build a nonlinear joint model of serum M‐protein kinetics and progression‐free survival (PFS) accounting for the effects of isatuximab (Isa), pomalidomide (Pom), and
Externí odkaz:
https://doaj.org/article/3512273683014dadb38eb1330f450b50
Autor:
François Riglet, Julie Bertrand, Aurélie Barrail-Tran, Céline Verstuyft, Hugues Michelon, Henri Benech, Antoine Durrbach, Valérie Furlan, Caroline Barau
Publikováno v:
Drugs in R&D, Vol 20, Iss 4, Pp 331-342 (2020)
Abstract Background and Objective Mycophenolate mofetil is widely used in kidney transplant recipients. Mycophenolate mofetil is hydrolysed by blood esterases to mycophenolic acid (MPA), the active drug. Although MPA therapeutic drug monitoring has b
Externí odkaz:
https://doaj.org/article/aebc7369cc8943ce95212329c4a83a17
Autor:
Hugues Michelon, Céline Verstuyft, François Riglet, Aurélie Barrail-Tran, Caroline Barau, Henri Benech, Antoine Durrbach, Valérie Furlan, Julie Bertrand
Publikováno v:
Drugs in R&D
Drugs in R&D, 2020, 20 (4), pp.331-342. ⟨10.1007/s40268-020-00319-y⟩
Drugs in R&D, Springer Verlag, 2020, 20 (4), pp.331-342. ⟨10.1007/s40268-020-00319-y⟩
Drugs in R&D, Vol 20, Iss 4, Pp 331-342 (2020)
Drugs in R&D, 2020, 20 (4), pp.331-342. ⟨10.1007/s40268-020-00319-y⟩
Drugs in R&D, Springer Verlag, 2020, 20 (4), pp.331-342. ⟨10.1007/s40268-020-00319-y⟩
Drugs in R&D, Vol 20, Iss 4, Pp 331-342 (2020)
Background and Objective Mycophenolate mofetil is widely used in kidney transplant recipients. Mycophenolate mofetil is hydrolysed by blood esterases to mycophenolic acid (MPA), the active drug. Although MPA therapeutic drug monitoring has been recom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9dafe18b12d7b5a915e582173255371
https://hal.inrae.fr/hal-03209277/document
https://hal.inrae.fr/hal-03209277/document
Publikováno v:
The AAPS Journal. 22
Given a joint model and its parameters, Bayesian individual dynamic prediction (IDP) of biomarkers and risk of event can be performed for new patients at different landmark times using observed biomarker values. The aim of the present study was to co