Multiscale in-silico modelling: from cancer biophysics to surgical simulations

At the dawn of the era of personalized medicine in cancer therapy, mathematical and computational modelling - also coined in-silico modelling - is becoming increasingly useful to aid biological experiments, make quantitative and testable predictions of physiological (wound healing) and pathological conditions (cancer development), while generate and test new hypotheses of the biological systems under investigation. In my talk, I will present two new in-silico multiscale modelling methodologies of solid tumour biomechanics, as well surgical modelling - particularly in the context of breast-conserving therapy. These models have been formulated to encompass tumour growth, tissue remodeling and angiogenesis, tumour-host tissue microstructure heterogeneity, etc. The in-silico models have been validated against in-vivo data of the collagen microstructure, microvasculature, interstitial fluid and solid mechanics forces from animal cancer models and patient-derived clinical data, specifically focusing on the role of mechanical signals in recapitulating in-vivo measurements.