Investigating immune system aging: system dynamics and agent-based modeling
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 com...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Book Section |
| Published: |
Society for Modeling and Simulation International
2010
|
| Online Access: | https://eprints.nottingham.ac.uk/1356/ |
| _version_ | 1848790591686574080 |
|---|---|
| author | Figueredo, Grazziela P. Aickelin, Uwe |
| author2 | Wainer, Gabriel |
| author_facet | Wainer, Gabriel Figueredo, Grazziela P. Aickelin, Uwe |
| author_sort | Figueredo, Grazziela P. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T18:15:03Z |
| format | Book Section |
| id | nottingham-1356 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:15:03Z |
| publishDate | 2010 |
| publisher | Society for Modeling and Simulation International |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-13562020-05-04T20:25:26Z https://eprints.nottingham.ac.uk/1356/ Investigating immune system aging: system dynamics and agent-based modeling Figueredo, Grazziela P. Aickelin, Uwe 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. Society for Modeling and Simulation International Wainer, Gabriel 2010 Book Section PeerReviewed Figueredo, Grazziela P. and Aickelin, Uwe (2010) Investigating immune system aging: system dynamics and agent-based modeling. In: Summer Computer Simulation Conference (SCSC): 12-14 July, Ottawa, ON, Canada. Society for Modeling and Simulation International. ISBN 9781617387029 |
| spellingShingle | Figueredo, Grazziela P. Aickelin, Uwe Investigating immune system aging: system dynamics and agent-based modeling |
| title | Investigating immune system aging: system dynamics and agent-based modeling |
| title_full | Investigating immune system aging: system dynamics and agent-based modeling |
| title_fullStr | Investigating immune system aging: system dynamics and agent-based modeling |
| title_full_unstemmed | Investigating immune system aging: system dynamics and agent-based modeling |
| title_short | Investigating immune system aging: system dynamics and agent-based modeling |
| title_sort | investigating immune system aging: system dynamics and agent-based modeling |
| url | https://eprints.nottingham.ac.uk/1356/ |