Coupled agent-based and finite element modelling of cancer cell behaviour

Abstract

In order to study the anti-cancer properties of new drugs, it is possible to create in silico models of cells or tissues, incorporating cell growth phenomena. Here we present the model that combines the finite element (FE) method for the diffusion transport of signaling molecules and an agent-based approach for the cancer cell simulation. In this approach, each cell is treated as a discrete entity with an internal state that depends on the concentration of apoptotic factors, while the diffusion of signaling molecules is solved using the FE method. The simulation follows individual cells as they respond to chemical signals and make decisions about survival or death. By defining appropriate material properties, boundary conditions, and interaction parameters, such models can simulate the diffusion and efficacy of anticancer agents within biological tissues. This computational approach allows for a detailed analysis of drug-tissue interactions, potentially reducing the need for extensive in vitro or in vivo experiments.