Calibration of agent based models for monophasic and biphasic tumour growth using approximate Bayesian computation.

ABSTRACT: Agent-based models (ABMs) are readily used to capture the stochasticity in tumour evolution; however, these models are often challenging to validate with experimental measurements due to model complexity. The Voronoi cell-based model (VCBM) is an off-lattice agent-based model that captures individual cell shapes using a Voronoi tessellation and mimics the evolution of cancer cell proliferation and movement. Evidence suggests tumours can exhibit biphasic growth in vivo. To account for this phenomena, we extend the VCBM to capture the existence of two distinct growth phases. Prior work primarily focused on point estimation for the parameters without consideration of estimating uncertainty. In this paper, approximate Bayesian computation is employed to calibrate the model to in vivo measureme

SUBMITTER: Wang X 

PROVIDER: S-EPMC10869399 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature