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.
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