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In Silico Modelling of Treatment-Induced Tumour Cell Kill: Developments and Advances

Mathematical and stochastic computer (in silico) models of tumour growth and treatment response of the past and current eras are presented, outlining the aims of the models, model methodology, the key parameters used to describe the tumour system, and treatment modality applied, as well as reported...

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Detalles Bibliográficos
Autores principales: Marcu, Loredana G., Harriss-Phillips, Wendy M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3407630/
https://www.ncbi.nlm.nih.gov/pubmed/22852024
http://dx.doi.org/10.1155/2012/960256
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author Marcu, Loredana G.
Harriss-Phillips, Wendy M.
author_facet Marcu, Loredana G.
Harriss-Phillips, Wendy M.
author_sort Marcu, Loredana G.
collection PubMed
description Mathematical and stochastic computer (in silico) models of tumour growth and treatment response of the past and current eras are presented, outlining the aims of the models, model methodology, the key parameters used to describe the tumour system, and treatment modality applied, as well as reported outcomes from simulations. Fractionated radiotherapy, chemotherapy, and combined therapies are reviewed, providing a comprehensive overview of the modelling literature for current modellers and radiobiologists to ignite the interest of other computational scientists and health professionals of the ever evolving and clinically relevant field of tumour modelling.
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spelling pubmed-34076302012-07-31 In Silico Modelling of Treatment-Induced Tumour Cell Kill: Developments and Advances Marcu, Loredana G. Harriss-Phillips, Wendy M. Comput Math Methods Med Review Article Mathematical and stochastic computer (in silico) models of tumour growth and treatment response of the past and current eras are presented, outlining the aims of the models, model methodology, the key parameters used to describe the tumour system, and treatment modality applied, as well as reported outcomes from simulations. Fractionated radiotherapy, chemotherapy, and combined therapies are reviewed, providing a comprehensive overview of the modelling literature for current modellers and radiobiologists to ignite the interest of other computational scientists and health professionals of the ever evolving and clinically relevant field of tumour modelling. Hindawi Publishing Corporation 2012 2012-07-12 /pmc/articles/PMC3407630/ /pubmed/22852024 http://dx.doi.org/10.1155/2012/960256 Text en Copyright © 2012 L. G. Marcu and W. M. Harriss-Phillips. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Marcu, Loredana G.
Harriss-Phillips, Wendy M.
In Silico Modelling of Treatment-Induced Tumour Cell Kill: Developments and Advances
title In Silico Modelling of Treatment-Induced Tumour Cell Kill: Developments and Advances
title_full In Silico Modelling of Treatment-Induced Tumour Cell Kill: Developments and Advances
title_fullStr In Silico Modelling of Treatment-Induced Tumour Cell Kill: Developments and Advances
title_full_unstemmed In Silico Modelling of Treatment-Induced Tumour Cell Kill: Developments and Advances
title_short In Silico Modelling of Treatment-Induced Tumour Cell Kill: Developments and Advances
title_sort in silico modelling of treatment-induced tumour cell kill: developments and advances
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3407630/
https://www.ncbi.nlm.nih.gov/pubmed/22852024
http://dx.doi.org/10.1155/2012/960256
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