Multiscale mechanistic modeling as a companion for experimental biology

Speaker: Marco Ruscone, Barcelona Supercomputing Center, Spain

Multiscale models offer a powerful approach to studyin g complex biological processes across multiple spatial and temporal scales. They capture both intracel lular dynamics—such as signaling regulation—and extracellular interactions, where cells communicate an d coordinate their behavior. By revealing how genetic or environmental perturbations affect disease prog ression, these models can help identify strategies to restore healthy phenotypes.  
In this talk, I will present some models developed using the PhysiBoSS framework, a physics-based cell simulator that integrates continuous-time Boolean m o dels within an agent-based approach. These models address various aspects of cancer biology, including cell cycle regulation and invasion through the extracellular matrix, and have been used in close collaboration with experimental researchers to explore phenomena such as migration modes and tubulogenesis.  
Finally, I will discuss how experimental biologists can benefit from partnering with computational modelers, illustrating how mechanistic modeling not only supports prediction and hypothesis generation but also opens new perspectives for interpreting biological complexity. I will also highlight how recent advances in artificial intelligence are making such modeling approaches increasingly accessible to experimental scientists—for instance, through conversational interfaces that allow users to build and explore simulations by interacting directly with an AI companion.