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Mathematical and Computational Models in TumorImmunology

Published online by Cambridge University Press:  06 June 2012

F. Pappalardo ,
A. Palladini ,
M. Pennisi ,
F. Castiglione  and
S. Motta
F. Pappalardo
Affiliation:
Università degli Studi di Catania, Catania, Italy
A. Palladini
Affiliation:
Università degli Studi di Catania, Catania, Italy
F. Castiglione
Affiliation:
Institute for Computing Applications "M. Picone", National Research Council of Italy, Viale Manzoni 30, 00185 Rome, Italy
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Abstract

The immune system is able to protect the host from tumor onset, and immune deficienciesare accompanied by an increased risk of cancer. Immunology is one of the fields in biologywhere the role of computational and mathematical modeling and analysis were recognized theearliest, beginning from 60s of the last century. We introduce the two most common methodsin simulating the competition among the immune system, cancers and tumor immunologystrategies: differential equations and rule-based models. Several specific implementationsare presented, describing in details how they work and how they advance or contribute thefield of tumor immunology.

Keywords

cancerstumor immunologyagent based modelsmathematical modelingvaccines
Type
Research Article
Information
Mathematical Modelling of Natural Phenomena , Volume 7 , Issue 3: Epidemiology , 2012 , pp. 186 - 203
Copyright
© EDP Sciences, 2012

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