id: 06074654
dt: j
an: 06074654
au: Pappalardo, F.; Palladini, A.; Pennisi, M.; Castiglione, F.; Motta, S.
ti: Mathematical and computational models in tumor immunology.
so: Math. Model. Nat. Phenom. 7, No. 3, 186-203 (2012).
py: 2012
pu: EDP Sciences, Les Ulis; Cambridge University Press, Cambridge
la: EN
cc: 
ut: cancers; agent based models; vaccines
ci: 
li: doi:10.1051/mmnp/20127312
ab: Summary: 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 the 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 detail how they work and how they advance or
    contribute the field of tumor immunology.
rv: