# 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

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topPappalardo, 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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