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Investigating immune system aging: system dynamics and agent-based modeling

Figueredo, Grazziela P.; Aickelin, Uwe

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Authors

Uwe Aickelin



Contributors

Gabriel Wainer
Editor

Abstract

System dynamics and agent based simulation models can
both be used to model and understand interactions of entities within a population. Our modeling work presented here is concerned with understanding the suitability of the different types of simulation for the immune system aging problems and comparing their results. We are trying to answer questions such as: How fit is the immune system given a certain age? Would an immune boost be of therapeutic value, e.g. to improve the effectiveness of a simultaneous vaccination? Understanding the processes of immune system aging and degradation may also help in development of therapies that reverse some of the damages caused thus improving life expectancy. Therefore as a first step our research focuses on T cells; major contributors to immune system functionality. One of the main factors influencing immune system aging is the output rate of naive T cells. Of further interest is the number and phenotypical variety of these cells in an individual, which will be the case study focused on in this paper.

Citation

Figueredo, G. P., & Aickelin, U. (2010). Investigating immune system aging: system dynamics and agent-based modeling. In G. Wainer (Ed.), Summer Computer Simulation Conference (SCSC): 12-14 July, Ottawa, ON, Canada. Society for Modeling and Simulation International

Publication Date Jan 1, 2010
Deposit Date Feb 1, 2012
Publicly Available Date Feb 1, 2012
Peer Reviewed Peer Reviewed
Book Title Summer Computer Simulation Conference (SCSC): 12-14 July, Ottawa, ON, Canada
ISBN 9781617387029
Public URL https://nottingham-repository.worktribe.com/output/1012569

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