Mathematical and Computational Models in Tumor Immunology

F. Pappalardo; A. Palladini; M. Pennisi; F. Castiglione; S. Motta

Mathematical Modelling of Natural Phenomena (2012)

  • Volume: 7, Issue: 3, page 186-203
  • ISSN: 0973-5348

Abstract

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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.

How to cite

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Pappalardo, F., et al. "Mathematical and Computational Models in Tumor Immunology." Mathematical Modelling of Natural Phenomena 7.3 (2012): 186-203. <http://eudml.org/doc/222444>.

@article{Pappalardo2012,
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.},
author = {Pappalardo, F., Palladini, A., Pennisi, M., Castiglione, F., Motta, S.},
journal = {Mathematical Modelling of Natural Phenomena},
keywords = {cancers; tumor immunology; agent based models; mathematical modeling; vaccines},
language = {eng},
month = {6},
number = {3},
pages = {186-203},
publisher = {EDP Sciences},
title = {Mathematical and Computational Models in Tumor Immunology},
url = {http://eudml.org/doc/222444},
volume = {7},
year = {2012},
}

TY - JOUR
AU - Pappalardo, F.
AU - Palladini, A.
AU - Pennisi, M.
AU - Castiglione, F.
AU - Motta, S.
TI - Mathematical and Computational Models in Tumor Immunology
JO - Mathematical Modelling of Natural Phenomena
DA - 2012/6//
PB - EDP Sciences
VL - 7
IS - 3
SP - 186
EP - 203
AB - 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.
LA - eng
KW - cancers; tumor immunology; agent based models; mathematical modeling; vaccines
UR - http://eudml.org/doc/222444
ER -

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