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Main Author: Romagnoli, Raffaele
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2411.07927
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author Romagnoli, Raffaele
author_facet Romagnoli, Raffaele
contents Chimeric antigen receptor (CAR) T cell therapy is revolutionizing the treatment of blood cancers. Mathematical models that can predict the effectiveness of immunotherapies such as CAR T are of increasing interest due to their ability to reduce the number of experiments performed and to guide the theoretical development of new therapeutic strategies. {Following this rationale, we propose the use of control-oriented models to guide the augmentation of CAR T therapy with synthetic gene circuitry. Here we present an initial investigation where we adapt a previously developed CAR T model for control-oriented purposes. We then explore the impact of realistic alternative activation methods as control inputs to ensure effective tumor clearance.
format Preprint
id arxiv_https___arxiv_org_abs_2411_07927
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Control-Oriented Models Inform Synthetic Biology Strategies in CAR T Cell Immunotherapy
Romagnoli, Raffaele
Systems and Control
Chimeric antigen receptor (CAR) T cell therapy is revolutionizing the treatment of blood cancers. Mathematical models that can predict the effectiveness of immunotherapies such as CAR T are of increasing interest due to their ability to reduce the number of experiments performed and to guide the theoretical development of new therapeutic strategies. {Following this rationale, we propose the use of control-oriented models to guide the augmentation of CAR T therapy with synthetic gene circuitry. Here we present an initial investigation where we adapt a previously developed CAR T model for control-oriented purposes. We then explore the impact of realistic alternative activation methods as control inputs to ensure effective tumor clearance.
title Control-Oriented Models Inform Synthetic Biology Strategies in CAR T Cell Immunotherapy
topic Systems and Control
url https://arxiv.org/abs/2411.07927