Voulgarelis, D;
Velayudhan, A;
Smith, F;
(2017)
Derivation of Continuum Models from An Agent-based Cancer Model: Optimization and Sensitivity Analysis.
Current Pharmaceutical Biotechnology
, 18
(15)
pp. 1249-1263.
10.2174/1389201019666180329111909.
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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.
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