Chareyron2009 - Mixed immunotherapy and chemotherapy of tumors Feedback design and model updating schemes

Model Identifier
MODEL2001160002
Short description
Mixed immunotherapy and chemotherapy of tumors: feedback design and model updating schemes. Chareyron S1, Alamir M. Author information Abstract In this paper, a recently developed model governing the cancer growth on a cell population level with combination of immune and chemotherapy is used to develop a reactive (feedback) mixed treatment strategy. The feedback design proposed here is based on nonlinear constrained model predictive control together with an adaptation scheme that enables the effects of unavoidable modeling uncertainties to be compensated. The effectiveness of the proposed strategy is shown under realistic human data showing the advantage of treatment in feedback form as well as the relevance of the adaptation strategy in handling uncertainties and modeling errors. A new treatment strategy defined by an original optimal control problem formulation is also proposed. This new formulation shows particularly interesting possibilities since it may lead to tumor regression under better health indicator profile.
Format
SBML
(L2V4)
Related Publication
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Mixed immunotherapy and chemotherapy of tumors: feedback design and model updating schemes.
- Chareyron S, Alamir M
- Journal of theoretical biology , 6/ 2009 , Volume 258 , Issue 3 , pages: 444-454 , PubMed ID: 18655792
- CNRS/GIPSA-Lab/University of Grenoble, BP 46, Domaine Universitaire, rue de la Houille Blanche, 38400 Saint Martin d'Hères, France. sophie.chareyron@inpg.fr
- In this paper, a recently developed model governing the cancer growth on a cell population level with combination of immune and chemotherapy is used to develop a reactive (feedback) mixed treatment strategy. The feedback design proposed here is based on nonlinear constrained model predictive control together with an adaptation scheme that enables the effects of unavoidable modeling uncertainties to be compensated. The effectiveness of the proposed strategy is shown under realistic human data showing the advantage of treatment in feedback form as well as the relevance of the adaptation strategy in handling uncertainties and modeling errors. A new treatment strategy defined by an original optimal control problem formulation is also proposed. This new formulation shows particularly interesting possibilities since it may lead to tumor regression under better health indicator profile.
Contributors
Submitter of the first revision: Mohammad Umer Sharif Shohan
Submitter of this revision: Mohammad Umer Sharif Shohan
Modellers: Mohammad Umer Sharif Shohan
Submitter of this revision: Mohammad Umer Sharif Shohan
Modellers: Mohammad Umer Sharif Shohan
Metadata information
isDescribedBy (2 statements)
hasTaxon (1 statement)
hasProperty (1 statement)
isDerivedFrom (4 statements)
hasTaxon (1 statement)
hasProperty (1 statement)
isDerivedFrom (4 statements)
Mathematical Modelling Ontology
Ordinary differential equation model
Taxonomy Homo sapiens
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PubMed 16153659
Taxonomy Homo sapiens
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PubMed 16153659
Curation status
Non-curated
Modelling approach(es)
Tags
Connected external resources
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Model files |
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Chareyron2009.xml | SBML L2V4 Chareyron2009 - Mixed immunotherapy and chemotherapy of tumors Feedback design and model updating schemes | 51.50 KB | Preview | Download |
Additional files |
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Chareyron2009.cps | COPASI version 4.24 (Build 197) Chareyron2009 - Mixed immunotherapy and chemotherapy of tumors Feedback design and model updating schemes | 107.50 KB | Preview | Download |
- Model originally submitted by : Mohammad Umer Sharif Shohan
- Submitted: Jan 16, 2020 3:25:31 PM
- Last Modified: Jan 16, 2020 3:25:31 PM