Dr GRAZZIELA FIGUEREDO G.Figueredo@nottingham.ac.uk
ASSOCIATE PROFESSOR
Dr GRAZZIELA FIGUEREDO G.Figueredo@nottingham.ac.uk
ASSOCIATE PROFESSOR
Uwe Aickelin
Emma Hart
Editor
Chris McEwan
Editor
Jon Timmis
Editor
Andy Hone
Editor
Although there are various types of cancer treatments, none of these currently take into account the e®ect of ageing of the immune system and hence altered responses to cancer. Recent studies have shown that in vitro stimulation of T cells can help in the treatment of patients. There are many factors that have to be considered when simulating an organism's immunocompetence. Our particular interest lies in the study of loss of immunocompetence with age.We are trying to answer questions such as: Given a certain age of a patient, how fit is their immune system to fight cancer? Would an immune boost improve the effectiveness of a cancer treatment given the patient's immune phenotype and age? We
believe that understanding the processes of immune system ageing and degradation through computer simulation may help in answering these questions. Specifically, we have decided to look at the change in numbers of naive T cells with age, as they play a important role in responses to cancer and anti-tumour vaccination. In this work we present an agent-
based simulation model to understand the interactions which influence the naive T cell populations over time. Our agent model is based on existing mathematical system dynamic model, but in comparisons others better scope for customisation and detailed analysis. We believe that the results obtained can in future help with the modelling of T cell populations inside tumours.
Figueredo, G. P., & Aickelin, U. (2010). Defining a simulation strategy for cancer immunocompetence. In E. Hart, C. McEwan, J. Timmis, & A. Hone (Eds.), Artificial immune systems: 9th international conference, ICARIS 2010, Edinburgh, UK, July 26-29, 2010: proceedings. Springer
Publication Date | Jan 1, 2010 |
---|---|
Deposit Date | Jan 31, 2012 |
Publicly Available Date | Jan 31, 2012 |
Peer Reviewed | Peer Reviewed |
Issue | 6209 |
Series Title | Lecture notes in computer science |
Book Title | Artificial immune systems: 9th international conference, ICARIS 2010, Edinburgh, UK, July 26-29, 2010: proceedings |
ISBN | 9783642145469 |
Public URL | https://nottingham-repository.worktribe.com/output/1012551 |
Publisher URL | http://www.springerlink.com/content/12173v6866v71743/fulltext.pdf |
Additional Information | The original publication is available at www.springerlink.com) |
figueredo2010b.pdf
(363 Kb)
PDF
Utilising User Data from a Food-Sharing App to Evidence the "Heat-or-Eat" Dilemma
(2024)
Presentation / Conference Contribution
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search