[New manuscript alert] Recipes for calibration and validation of agent-based models in cancer biomedicine

 Our exceptional Nicolò Cogno, Cristian Axenie, Roman Bauer, and Vasileios Vavourakis have recently released the results of their latest collaboration: "Recipes for calibration and validation of agent-based models in cancer biomedicine" arXiv:2310.20031

From the abstract: Agent-based models and simulations are especially interesting candidates among computational modelling strategies in cancer research due to their capabilities to replicate realistic local and global interaction dynamics at a convenient and relevant scale. Yet, the absence of methods to validate the consistency of the results across scales can hinder adoption by turning fine-tuned models into black boxes. 

This review compiles relevant literature to explore strategies to leverage high-fidelity simulations of multi-scale, or multi-level, cancer models with a focus on validation approached as simulation calibration. We argue that simulation calibration goes beyond parameter optimization by embedding informative priors to generate plausible parameter configurations across multiple dimensions.