In SilicoModelling of Treatment-Induced Tumour Cell Kill: Developments and Advances | Zendy

Loredana G. Marcu | Zendy; Wendy M. Harriss-Phillips | Zendy

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

Author(s) -

Loredana G. Marcu,

Wendy M. Harriss-Phillips

Publication year - 2012

Publication title -

computational and mathematical methods in medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.462

H-Index - 48

eISSN - 1748-6718

pISSN - 1748-670X

DOI - 10.1155/2012/960256

Subject(s) - in silico , computer science , computational model , field (mathematics) , radiation therapy , stochastic modelling , treatment modality , medical physics , management science , data science , computational biology , medicine , biology , artificial intelligence , surgery , engineering , mathematics , biochemistry , statistics , gene , pure mathematics

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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