Computational biomechanics and robust numerical methods are powerful tools for supporting early disease detection and advancing modern treatment strategies. However, the complexity of living systems poses completely new challenges for mechanical models and numerical solution methods. To enable predictive simulations that are useful for clinical practice in the everyday clinical setting, it is essential to combine mechanics with biochemistry or electrophysiology via multiphysics modeling. These models can bridge the gap between metabolic processes at the subcellular level and macroscopic continuum mechanics, incorporate tissue responses to mechanical stimuli through coupling strategies, and intelligently integrate experimental data for model calibration and validation. An additional important challenge is to consider not only individual processes independently of each other, but also the interaction of different functional units in the context of an entire biological system. This minisymposium focuses on novel approaches to address these challenges. We welcome highly interdisciplinary contributions that bring together expertise from different fields, such as mechanical modeling, numerical methods, data science, and clinical application. The goal of this minisymposium is to create valuable synergies between researchers working on different biological systems, potentially at different levels, to bring computational modeling one step closer to clinical practice. Contributions from experimental biomechanics are also welcome, since they generate data that is essential for the further development of the mechanical understanding as well as the parameterization and validation of computational simulation models. REFERENCES [1] Suditsch, M., Egli, F. S., Lambers, L. & Ricken, T. (2025), DOI: 10.1016/j.jocs.2025.102533 [2] Ahmadi Soufivand A., Lee SJ., Jüngst T. & Budday S. (2025), DOI: 10.1088/2516-1091/addb19 [3] Ates, F. & Röhrle, O. (2024), DOI: 10.1002/gamm.202370012