Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Juan José Pérez‐Ruixo"'
Autor:
Anna Dari, Philippe Jacqmin, Yuki Iwaki, Martine Neyens, Mathieu Le Gars, Jerald Sadoff, Karin Hardt, Javier Ruiz‐Guiñazú, Juan José Pérez‐Ruixo
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 12, Iss 10, Pp 1485-1498 (2023)
Abstract Mechanistic model‐based simulations can be deployed to project the persistence of humoral immune response following vaccination. We used this approach to project the antibody persistence through 24 months from the data pooled across five c
Externí odkaz:
https://doaj.org/article/e5c516261c6749c5aae3b158bce0490e
Publikováno v:
Clinical Pharmacology & Therapeutics. 113:692-703
Autor:
Anna Dari, Muriel Boulton, Martine Neyens, Mathieu Le Gars, Belén Valenzuela, Georgi Shukarev, Vicky Cárdenas, Javier Ruiz‐Guiñazú, Jerald Sadoff, Richard M. W. Hoetelmans, Juan José Pérez Ruixo
Publikováno v:
Clinical Pharmacology & Therapeutics. 113:380-389
Understanding persistence of humoral immune responses elicited by vaccination against coronavirus disease 2019 (COVID-19) is critical for informing the duration of protection and appropriate booster timing. We developed a mechanistic model to charact
Autor:
Juan-José Pérez-Ruixo, Yaowei Zhu, Martine Neyens, Marie-Helene Jouvin, Sindhu Ramchandren, Yan Xu, Jocelyn Leu, Anne-Gaëlle Dosne, Yuan Xiong, Belén Valenzuela, Leona Ling, Partha Nandy, Hong Sun
Publikováno v:
Sunday, April 23.
Publikováno v:
Therapeutic Drug Monitoring. 36:317-325
Several factors such as low therapeutic index, large interindividual variability in systemic exposure, and the relationships between exposure and toxicity for sorafenib could justify its therapeutic drug monitoring (TDM). To support TDM, a selective
Autor:
Belén Valenzuela, Per Olsson Gisleskog, Italo Poggesi, Tatiana Sidorenko, Michel Burcklen, Hilke Kracker, Juan Jose Pérez‐Ruixo
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 11, Iss 10, Pp 1294-1304 (2022)
Abstract The efficacy of ponesimod and teriflunomide for the treatment of relapsing multiple sclerosis (MS) was compared in a randomized phase III trial. This study explores the exposure‐response (E‐R) relationships of efficacy end points (annual
Externí odkaz:
https://doaj.org/article/531afc9bc7ca4e63b7b43fe2aa37c10f
Autor:
Antonio Brugarolas Masllorens, Manuel Sureda, Juan José Pérez Ruixo, Pedro Bretcha-Boix, Carlos Dussan, José Farré-Alegre
Publikováno v:
Clinical and Translational Oncology. 12:437-442
Peritoneal carcinomatosis is a relatively frequent situation in the natural history of colorectal cancer and is associated with a dismal prognosis. Promising results have been shown after radical cytoreduction followed by intraperitoneal chemohyperth
Autor:
Gustavo, Camps-Valls, Begoña, Porta-Oltra, Emilio, Soria-Olivas, José David, Martín-Guerrero, Antonio José, Serrano-López, Juan José, Pérez-Ruixo, Nicolás Víctor, Jiménez-Torres
Publikováno v:
IEEE Transactions on Biomedical Engineering. 50:442-448
This paper proposes the use of neural networks for individualizing the dosage of cyclosporine A (CyA) in patients who have undergone kidney transplantation. Since the dosing of CyA usually requires intensive therapeutic drug monitoring, the accurate
Autor:
Pilar Azagra Ros, Nicolás Victor Jiménez Torres, Javier García Conde Bru, Vicente Germán Casabó Alós, Juan José Pérez Ruixo
Publikováno v:
Revista de Oncología. 4:139-146
Nuestro objetivo es comparar la efectividad del inicio del tratamiento con rHu-GCSF transcurridas 24 ho-ras (dia +1) desde la reinfusion de celulas precursoras hematopoyeticas de sangre periferica (CPHSP) con la administracion de rHu-GCSF 5 dias (dia
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 10, Iss 8, Pp 826-838 (2021)
Abstract This work explores the application of a physiologically structured population (PSP) framework in modeling hepatitis C virus (HCV) kinetics. To do so, a model was developed for the viral RNA load in plasma and liver as observed in 15 patients
Externí odkaz:
https://doaj.org/article/408653afc87f4315b2133467334bc8eb