Computational Modelling in Cancer: Methods and Applications

Publication Type:

Journal Article

Authors:

Konstantina Kourou; Dimitris I. Fotiadis

Source:

Biomed Data J, Volume 1, Issue 1, p.15-25 (2015)

Abstract:

Computational modelling of diseases is an emerging field, proven valuable for the diagnosis, prognosis and treatment of the disease. Cancer is one of the diseases where computational modelling provides enormous advancements, allowing the medical professionals to perform in silico experiments and gain insights prior to any in vivo procedure. In this paper, we review the most recent computational models that have been proposed for cancer. Well known databases used for computational modelling experiments, as well as, the various markup language representations are discussed. In addition, recent state of the art research studies related to tumour growth and angiogenesis modelling are presented.

Full text: 

Computational Modelling in Cancer: Methods and Applications
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National Library of Medicine (brackets, no "et al."): Kourou K, Fotiadis DI. Computational Modelling in Cancer: Methods and Applications. Biomed Data J. 2015;1(1):15-25.
National Library of Medicine (grant proposals with PMCID/PMID): Kourou K, Fotiadis DI. Computational Modelling in Cancer: Methods and Applications. Biomed Data J. 2015;1(1):15-25.
National Library of Medicine (NLM) - Grant with PMID: Kourou K, Fotiadis DI. Computational Modelling in Cancer: Methods and Applications. Biomed Data J. 2015;1(1):15-25.
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