Dynamical systems analysis as an additional tool to inform treatment outcomes: The case study of a quantitative systems pharmacology model of immuno-oncology-Reference-Cited by-同舟云学术

Dynamical systems analysis as an additional tool to inform treatment outcomes: The case study of a quantitative systems pharmacology model of immuno-oncology

Published:2021-02 Issue:2 Volume:31 Page:023124
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Balti Aymen¹,Zugaj Didier²,Fenneteau Frédérique¹,Tremblay Pierre-Olivier²,Nekka Fahima¹³^ORCID

Affiliation:

1. Faculty of pharmacy, Université de Montréal, Montreal, Quebec H3C 3J7, Canada

2. Syneos Health, Clinical Pharmacology, Quebec, Quebec G1P 0A2, Canada

3. Centre de recherches mathématiques, Université de Montréal, Montreal, Quebec H3C 3J7, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Fonds de recherche du Québec – Nature et technologies

Syneos

Pfizer

FRQNT Projet d'équipe

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0022238

Reference20 articles.

1. Radiation and PD-(L)1 treatment combinations: immune response and dose optimization via a predictive systems model

2. Understanding the Behavior of Systems Pharmacology Models Using Mathematical Analysis of Differential Equations: Prolactin Modeling as a Case Study

3. Transit and lifespan in neutrophil production: implications for drug intervention

4. A QSP Model for Predicting Clinical Responses to Monotherapy, Combination and Sequential Therapy Following CTLA-4, PD-1, and PD-L1 Checkpoint Blockade

5. Quantitative Mechanistic Modeling in Support of Pharmacological Therapeutics Development in Immuno-Oncology

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