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Mathematical Modelling of Natural Phenomena Mathematical Modelling of Natural Phenomena

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Mathematical and Computational Models in Tumor Immunology

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
Corresponding
E-mail address:
motta@dmi.unict.it
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Abstract

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

Keywords

cancers tumor immunology agent based models mathematical modeling vaccines
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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