Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Jin Y Jin"'
Autor:
Mathilde Marchand, Antonio Gonçalves, François Mercier, Pascal Chanu, Jin Y. Jin, Jérémie Guedj, René Bruno
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 13, Iss 6, Pp 1017-1028 (2024)
Abstract Model‐based tumor growth inhibition (TGI) metrics are increasingly used to predict overall survival (OS) data in Phase III immunotherapy clinical trials. However, there is still a lack of understanding regarding the differences between two
Externí odkaz:
https://doaj.org/article/edf64a1ef2e3434b96731dc8aefa04d5
Publikováno v:
Drugs in R&D, Vol 24, Iss 2, Pp 155-167 (2024)
Abstract Background and Objectives Despite significant progress in biomedical research, the rate of success in oncology drug development remains inferior to that of other therapeutic fields. Mechanistic models provide comprehensive understanding of t
Externí odkaz:
https://doaj.org/article/edd67a37d356415091a99db705d813f0
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 13, Iss 5, Pp 870-879 (2024)
Abstract Noncompartmental analysis (NCA) is a model‐independent approach for assessing pharmacokinetics (PKs). Although the existing NCA algorithms are very well‐established and widely utilized, they suffer from low accuracies in the setting of s
Externí odkaz:
https://doaj.org/article/0f1da517afe54d93b2c330aa4e23a06c
Autor:
Tong Lu, Victor Poon, Logan Brooks, Erick Velasquez, Eric Anderson, Kyle Baron, Jin Y. Jin, Matts Kågedal
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 13, Iss 3, Pp 341-358 (2024)
Abstract GPKPDviz is a Shiny application (app) dedicated to real‐time simulation, visualization, and assessment of the pharmacokinetic/pharmacodynamic (PK/PD) models. Within the app, gPKPDviz is capable of generating virtual populations and complex
Externí odkaz:
https://doaj.org/article/5585c20f28f14cc79f21f329775e6896
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 13, Iss 1, Pp 68-78 (2024)
Abstract Two‐stage and joint modeling approaches are the two main approaches to investigate the link between longitudinal tumor size data and overall survival (OS) and anticipate clinical trial outcome. We here used a large database composed of one
Externí odkaz:
https://doaj.org/article/dec099b3ed6d400989c7a071740bfb68
Publikováno v:
Clinical and Translational Science, Vol 16, Iss 11, Pp 2310-2322 (2023)
Abstract The Mayo Clinical Score is used in clinical trials to describe the clinical status of patients with ulcerative colitis (UC). It comprises four subscores: rectal bleeding (RB), stool frequency (SF), physician's global assessment, and endoscop
Externí odkaz:
https://doaj.org/article/107fa89c02734a2698e4c04b30c5afe5
Autor:
Stephan Schmidt, Valvanera Vozmediano, Rodrigo Cristofoletti, Sarah Kim, Zhoumeng Lin, Natalia deMoraes, Francine Azeredo, Brian Cicali, Hans Leuenberger, Joshua D. Brown, Jin Y. Jin, Cynthia J. Musante, Stacey Tannenbaum, Yaning Wang
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 12, Iss 7, Pp 883-888 (2023)
Externí odkaz:
https://doaj.org/article/08e38ed6155a4e7699df9db375561cb2
Autor:
Samira Jamalian, Michael Dolton, Pascal Chanu, Vidya Ramakrishnan, Yesenia Franco, Kristin Wildsmith, Paul Manser, Edmond Teng, Jin Y. Jin, Angelica Quartino, Joy C. Hsu, for the Alzheimer's Disease Neuroimaging Initiative
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 12, Iss 7, Pp 1029-1042 (2023)
Abstract There is strong interest in developing predictive models to better understand individual heterogeneity and disease progression in Alzheimer's disease (AD). We have built upon previous longitudinal AD progression models, using a nonlinear, mi
Externí odkaz:
https://doaj.org/article/3b249fe4407842a7bf2bc7d8b35b90cc
Autor:
Monica E. Susilo, Chi‐Chung Li, Kapil Gadkar, Genevive Hernandez, Ling‐Yuh Huw, Jin Y. Jin, Shen Yin, Michael C. Wei, Saroja Ramanujan, Iraj Hosseini
Publikováno v:
Clinical and Translational Science, Vol 16, Iss 7, Pp 1134-1148 (2023)
Abstract Phase I oncology clinical trials often comprise a limited number of patients representing different disease subtypes who are divided into cohorts receiving treatment(s) at different dosing levels and schedules. Here, we leverage a previously
Externí odkaz:
https://doaj.org/article/2bc7d8bf72c444f492e191b7c0cbf612
Autor:
Vidya Ramakrishnan, Christina Friedrich, Colleen Witt, Robert Sheehan, Meghan Pryor, Jasvinder K. Atwal, Kristin Wildsmith, Katherine Kudrycki, Seung‐Hye Lee, Norman Mazer, Carsten Hofmann, Reina N. Fuji, Jin Y. Jin, Saroja Ramanujan, Michael Dolton, Angelica Quartino
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 12, Iss 1, Pp 62-73 (2023)
Abstract Despite considerable investment into potential therapeutic approaches for Alzheimer's disease (AD), currently approved treatment options are limited. Predictive modeling using quantitative systems pharmacology (QSP) can be used to guide the
Externí odkaz:
https://doaj.org/article/6c9f800424f0462f8528114142c69f0a