#9 · Systems biology

Stochastic and multiscale models of tumor, glioma and electrotactic cell dynamics

The dominant thread is computational prediction of cell and tissue behavior when several determinants act at once, implemented as multiscale or stochastic simulation. A biophysical study shows that electric fields can override and reverse durotaxis in a cell-type-dependent manner, and releases a free prediction platform. Stochastic multiscale models of glioma invasion under treatment derive random reaction-diffusion-taxis equations and simulate therapy protocols. A cancer progression model couples phenotype-driven traits and resource competition to clonal dynamics, with an efficient simulator and open-source GUI. An HPC finite volume diffusion solver (BioFVM) targets molecular diffusion in agent-based tumor simulations. What is new is explicit treatment of electric and mechanical guidance within these frameworks, alongside efficient, released computational tools. The tumor and glioma work addresses population-scale dynamics rather than directional guidance.