Mark A. J. Chaplain

This study develops macroscopic models to simulate cancer cell invasion and metastasis by bridging microscopic cell dynamics with continuum descriptions, showing accurate reproduction of phenotypic and spatial patterns.

The paper develops an in silico model of cancer cell invasion in organotypic assays, showing that adhesion parameters affect tumor invasiveness.

This study models cancer cell dormancy in mice using statistical distributions to predict reactivation times and survival dynamics, finding heavy-tailed and asymmetric distributions best fit dormancy patterns.

This paper develops a mathematical model of BRAFV600E-MEK-ERK signaling dynamics to simulate responses to vertical inhibition treatment strategies and identify effective combinations.

The paper enhances a hybrid multiscale cancer invasion model to better reflect biological dynamics and introduces a multi-organ metastasis framework.

This paper develops a hybrid, multiscale, individual-based model to study SARS-CoV-2 infection spread and immune response, focusing on macrophages and their interactions with viral dynamics and cytokines.

This paper introduces a hybrid model combining stochastic individual-based dynamics and reaction-diffusion equations to study coexistence of strategies in spatial evolutionary games, showing how chemotaxis and motion enable coexistence in otherwise incompatible scenarios.