In Silico Modelling of Treatment-induced Tumour Cell Kill: Developments and Advances
Overview
Affiliations
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.
A comprehensive review of computational cell cycle models in guiding cancer treatment strategies.
Ma C, Gurkan-Cavusoglu E NPJ Syst Biol Appl. 2024; 10(1):71.
PMID: 38969664 PMC: 11226463. DOI: 10.1038/s41540-024-00397-7.
Models for Translational Proton Radiobiology-From Bench to Bedside and Back.
Suckert T, Nexhipi S, Dietrich A, Koch R, Kunz-Schughart L, Bahn E Cancers (Basel). 2021; 13(16).
PMID: 34439370 PMC: 8395028. DOI: 10.3390/cancers13164216.
In Silico Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific Case.
Falco J, Agosti A, Vetrano I, Bizzi A, Restelli F, Broggi M J Clin Med. 2021; 10(10).
PMID: 34067871 PMC: 8156762. DOI: 10.3390/jcm10102169.
The Ever-Changing Role of Medical Physicists in the Era of Personalized Medicine.
Marcu L J Med Phys. 2021; 45(4):197-198.
PMID: 33953493 PMC: 8074720. DOI: 10.4103/jmp.JMP_113_20.
Cockrell C, Axelrod D Cancer Inform. 2019; 18:1176935118822804.
PMID: 30675100 PMC: 6330731. DOI: 10.1177/1176935118822804.