Optimisation modelling of cancer growth
Access Status
Open access via publisher
Authors
Jones, T.
Caccetta, Louis
Rehbock, Volker
Date
2017Type
Conference Paper
Metadata
Show full item recordCitation
Jones, T. and Caccetta, L. and Rehbock, V. 2017. Optimisation modelling of cancer growth, pp. 115-123.
Source Title
Discrete and Continuous Dynamical Systems - Series B
ISSN
School
Department of Mathematics and Statistics
Collection
Abstract
Several computational models have been developed in the litera- ture to describe the dynamics of the cell-cycle for the mammalian cell, in par- ticular for cancer cells, using both traditional and new techniques and yielding some positive results. In this paper, we discuss how to optimise model param- eters for these types of models and how this can serve to enhance numerical results. We pose the model parameter selection problem as an optimal param- eter selection problem on both a normal cell and cancer cell cycle of growth. Various possible objectives are discussed and we illustrate the process with some numerical results.
Related items
Showing items related by title, author, creator and subject.
-
Schaefer, Rainer (2008)At present, most cancers are treated with surgery, radiotherapy and chemotherapy, used alone or in combination. Surgery and radiotherapy are the primary treatment modalities after early detection of cancers and they ...
-
Tan, M.; Moore, S.; Tabor, R.; Fegan, N.; Rahman, S.; Dykes, Gary (2016)Background: Processing of fresh produce exposes cut surfaces of plant cell walls that then become vulnerable to human foodborne pathogen attachment and contamination, particularly by Salmonella enterica. Plant cell walls ...
-
Kusmiaty (2003)Malignant mesothelioma (MM) is an aggressive and highly chemo-resistant tumour of the mesothelium. Asbestos is indicated as the environmental factor most commonly associated with mesothelioma. The chemo-resistance is ...