Derivation of Continuum Models from An Agent-based Cancer Model: Optimization and Sensitivity Analysis

Author(s): Dimitrios Voulgarelis*, Ajoy Velayudhan, Frank Smith.

Journal Name: Current Pharmaceutical Biotechnology

Volume 18 , Issue 15 , 2017

Become EABM
Become Reviewer

Graphical Abstract:


Background: Agent-based models provide a formidable tool for exploring complex and emergent behaviour of biological systems as well as accurate results but with the drawback of needing a lot of computational power and time for subsequent analysis. On the other hand, equation-based models can more easily be used for complex analysis in a much shorter timescale.

Methods & Objective: This paper formulates an ordinary differential equations and stochastic differential equations model to capture the behaviour of an existing agent-based model of tumour cell reprogramming and applies it to optimization of possible treatment as well as dosage sensitivity analysis.

Results: For certain values of the parameter space a close match between the equation-based and agent-based models is achieved. The need for division of labour between the two approaches is explored.

Keywords: Cancer, agent-based, ODE, ABM, SDE, optimization.

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2017
Page: [1249 - 1263]
Pages: 15
DOI: 10.2174/1389201019666180329111909
Price: $65

Article Metrics

PDF: 24