• Marios Demetriades et al. Interrogating and Quantifying In Vitro Cancer Drug Pharmacodynamics via Agent-Based and Bayesian Monte Carlo Modelling. In: Pharmaceutics 14(4), 2022. DOI 10.3390/pharmaceutics14040749.
  • K. Gazeli et al. Interrogating an in silico model to determine helium plasma jet and chemotherapy efficacy against B16F10 melanoma cells. In: Applied Physics Letters, 120(5), 2022. DOI: 10.1063/5.0077694
  • Nicolo Cogno et al. A 3D Agent-Based Model of Lung Fibrosis. In: Symmetry, 14(1), 2022. DOI 10.3390/sym14010090


  • Jean de Montigny et al. Retinal self-organization: a model of RGC and SAC mosaic formation. In: bioRxiv, 2021. DOI: 10.1101/2021.10.22.465398.
  • Jean de Montigny et al. An in silico hybrid continuum-/agent-based procedure to modelling cancer development: Interrogating the interplay amongst glioma invasion, vascularity and necrosis. In: Methods 185, 2021. DOI: 10.1016/j.ymeth.2020.01.006.


  • Pablo Gonzalez-de-Aledo. An optimization approach for agent-based computational models of biological development. In: Advances in Engineering Software, 121, 2017. DOI: 10.1016/j.advengsoft.2018.03.010.

If you have published an application based on BioDynaMo, we would be very greatful if you could contact us so that we can list your publication here.