Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Vincent F. S. Dubois"'
Autor:
Van Thuy Truong, Paul G. Baverel, Grant D. Lythe, Paolo Vicini, James W. T. Yates, Vincent F. S. Dubois
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 11, Iss 2, Pp 133-148 (2022)
Abstract Mathematical models in oncology aid in the design of drugs and understanding of their mechanisms of action by simulation of drug biodistribution, drug effects, and interaction between tumor and healthy cells. The traditional approach in phar
Externí odkaz:
https://doaj.org/article/dc79b06dc75c496da221860c1d493470
Autor:
Andrea L. Vavere, Marvin Sinsakul, Emily L. Ongstad, Ye Yang, Vijayalakshmi Varma, Christopher Jones, Joanne Goodman, Vincent F. S. Dubois, Angelica L. Quartino, Sotirios K. Karathanasis, Liron Abuhatzira, Anna Collén, Charalambos Antoniades, Michael J. Koren, Ruchi Gupta, Richard T. George
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 12, Iss 3 (2023)
Background Blockade of the lectin‐like oxidized low‐density lipoprotein receptor‐1 (LOX‐1) is a potentially attractive mechanism for lowering inflammatory and lipid risk in patients with atherosclerosis. This study aims to assess the safety,
Externí odkaz:
https://doaj.org/article/4606a5cf507d406c8be0c7a8b37627a3
Autor:
Ignacio González‐García, Vadryn Pierre, Vincent F. S. Dubois, Nassim Morsli, Stuart Spencer, Paul G. Baverel, Helen Moore
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 10, Iss 3, Pp 230-240 (2021)
Abstract We developed and evaluated a method for making early predictions of best overall response (BOR) and overall survival at 6 months (OS6) in patients with cancer treated with immunotherapy. This method combines machine learning with modeling of
Externí odkaz:
https://doaj.org/article/8fbcb3e56e864a4ab7bd5c18996aa967
Autor:
John Hood, Ignacio González-García, Nicholas White, Leeron Marshall, Vincent F. S. Dubois, Paolo Vicini, Paul G. Baverel
Publikováno v:
Pharmaceutics, Vol 13, Iss 4, p 519 (2021)
A sequential pharmacokinetic (PK) and pharmacodynamic (PD) model was built with Nonlinear Mixed Effects Modelling based on data from a first-in-human trial of a novel biologic, MEDI7836. MEDI7836 is a human immunoglobulin G1 lambda (IgG1λ-YTE) monoc
Externí odkaz:
https://doaj.org/article/15fd3f60ba624730ac3cd9d0a9f7dae2
Autor:
Vincent F. S. Dubois, Stuart Spencer, Vadryn Pierre, Paul Baverel, Helen Moore, Nassim Morsli, Ignacio González-García
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 10, Iss 3, Pp 230-240 (2021)
CPT: Pharmacometrics & Systems Pharmacology
CPT: Pharmacometrics & Systems Pharmacology
We developed and evaluated a method for making early predictions of best overall response (BOR) and overall survival at 6 months (OS6) in patients with cancer treated with immunotherapy. This method combines machine learning with modeling of longitud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1acebe25241822740b4ed19ae8ca321
https://doi.org/10.1002/psp4.12594
https://doi.org/10.1002/psp4.12594
Concentration-QT modelling in early clinical oncology settings: Simulation evaluation of performance
Autor:
Corina Dota, Rhianna O'Sullivan, Gael Cantet, Alienor Berges, Vincent F. S. Dubois, Guillemette E. Benoist, Stein Schalkwijk, Joanna Parkinson, Dinko Rekić, Sarit Cohen-Rabbie, Helen Tomkinson
Publikováno v:
British journal of clinical pharmacologyREFERENCES. 88(3)
AIMS Concentration-QT modelling (C-QTc) of first-in-human data has been rapidly adopted as the primary evaluation of QTc interval prolongation risk. Here, we evaluate the performance of C-QTc in early oncology settings (i.e., patients, no placebo or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9a14135386ec8d82fe62d4fb061bd1e
https://pubmed.ncbi.nlm.nih.gov/34416045
https://pubmed.ncbi.nlm.nih.gov/34416045
Autor:
Leeron Marshall, Vincent F. S. Dubois, Ignacio González-García, Paul Baverel, John Hood, Paolo Vicini, Nicholas J. White
Publikováno v:
Pharmaceutics
Volume 13
Issue 4
Pharmaceutics, Vol 13, Iss 519, p 519 (2021)
Volume 13
Issue 4
Pharmaceutics, Vol 13, Iss 519, p 519 (2021)
A sequential pharmacokinetic (PK) and pharmacodynamic (PD) model was built with Nonlinear Mixed Effects Modelling based on data from a first-in-human trial of a novel biologic, MEDI7836. MEDI7836 is a human immunoglobulin G1 lambda (IgG1λ-YTE) monoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b359c8219a67ef96ed7f4e6ad24541eb
Autor:
Lorin Roskos, Paolo Vicini, Rajesh Narwal, Paul Baverel, Vincent F. S. Dubois, Yanan Zheng, Chao Yu Jin, Pralay Mukhopadhyay, Xiaoping Jin, Phillip A. Dennis, Yong Ben, Xuyang Song, Ashok Kumar Gupta
Publikováno v:
Clinical Pharmacology and Therapeutics
The objectives of this analysis were to develop a population pharmacokinetics (PK) model of durvalumab, an anti-PD-L1 antibody, and quantify the impact of baseline and time-varying patient/disease characteristics on PK. Pooled data from two studies (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93e38a17e2112c5d9f198ea8d56fd414
https://pubmed.ncbi.nlm.nih.gov/29243223
https://pubmed.ncbi.nlm.nih.gov/29243223
Autor:
James W.T. Yates, Grant Lythe, Vincent F. S. Dubois, Paolo Vicini, Paul Baverel, Van Thuy Truong
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology
CPT: Pharmacometrics & Systems Pharmacology, Vol 11, Iss 2, Pp 133-148 (2022)
CPT: Pharmacometrics & Systems Pharmacology, Vol 11, Iss 2, Pp 133-148 (2022)
Mathematical models in oncology aid in the design of drugs and understanding of their mechanisms of action by simulation of drug biodistribution, drug effects, and interaction between tumor and healthy cells. The traditional approach in pharmacometri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33e523a768178846a79c83dc4f18b53f