Speakers
Description
Tissues in health and disease are inherently dynamic, adaptive, and driven by processes that operate away from classical equilibrium assumptions. Integrating mechanistic models with experimental data (spanning in-vitro systems, organoids, live imaging, and in-vivo measurements) is key to unraveling how physiological function emerges and how dysregulation leads to pathology. However, traditional modelling frameworks often fail to capture the transient nature of biological regulation, stochastic fluctuations, and feedback mechanisms that shape tissue behaviour over multiple scales.
This mini-symposium will bring together researchers advancing mathematical and computational models that are informed by experimental datasets concerning tissue dynamics in physiology and disease, with the goal of fostering an integrated view from theory to applications. The main topics will include (i) active tissue response and shape variation, (ii) strategies to integrate heterogeneous experimental data into predictive models, (iii) computational techniques for analysing transient behaviours in complex biological tissues, and (iv) multiscale formalisms that link cell-level events to emergent tissue responses.
