In‑silico Mechanomedicine  

11am to 5:30pm, Tuesday 14 July

The In‑silico Mechanomedicine satellite session, endorsed by the European Society of Biomechanics, explores the convergence of computational modelling, quantitative biomechanics, and mechanobiology to explain and predict how mechanical forces and material properties regulate biological systems across spatial and temporal scales. Mechanical cues shape tissue integrity, cellular decision‑making, and molecular interactions, and their alteration is increasingly recognised as a hallmark of disease and a source of actionable biomarkers.

This Session highlights emerging in‑silico approaches — from discrete to continuum models, multiscale simulations, machine‑learning frameworks, and digital‑twin technologies — that capture the mechanical signatures governing physiological and pathological processes. By integrating experimental measurements (such as imaging, elastography, microfluidics, AFM, and traction‑force readouts) with physics‑based or data‑driven models, these methods allow a deeper mechanistic interpretation of complex biological behaviour and open new opportunities for predictive diagnostics and mechanically targeted interventions.

Overall, the session aims to bring together researchers advancing computational biomechanics, mechanobiology, and mechanomedicine, fostering a community capable of translating mechanical insights into robust, clinically relevant, and personalised predictive tools.

Session topics (including, but not limited to):

• Multiscale computational modelling of cells, tissues, and organs
• Mechanotransduction and force‑pathway modelling
• Finite‑element, continuum, and constitutive modelling of biological materials
• Agent‑based, particle‑based, and hybrid simulation frameworks
• AI, machine learning, and physics‑informed neural networks (PINNs)
• Data‑model fusion and integration of experimental mechanobiology
• Digital twins and patient‑specific mechanobiology
• Computational mechanobiology in disease, pathology, and therapy prediction
• Applications of in‑silico mechanomedicine