If a thrombus becomes lodged in a brain artery, it can lead to a stroke, the second leading cause of death worldwide. Swift and efficient removal of the thrombus is essential for optimal recovery. Thrombectomy, the mechanical extraction of the clot is the preferred treatment method. Several devices, including stent retrievers and aspiration devices, are clinically used to perform this procedure. There is significant room to improve both the procedure and the devices. A thrombus consists of a fibrin network containing red blood cells and platelets. The mechanical properties of these thrombi are significantly influenced by the interactions among these three components. Depending on their composition, they are very soft and break down easily, while others are relatively stiff and can resist large deformations without failure. Insights into thrombus mechanics are essential for understanding how clots respond to mechanical forces during thrombectomy. The intricate interplay between the fibrin network, flexible red blood cells, and contracting platelets need to be incorporated in microscale models, including the properties and interactions of each component. Through sophisticated multiscale approaches, we can develop microstructurally informed macroscopic models of the mechanical behaviour of thrombi6. The successful application of these models involves verification and validation through sensitivity analyses, and uncertainty quantification. Once validated, these models can be used in in silico platforms to quantify the interaction between the thrombus and a stent retriever to predict the outcome of a thrombectomy procedure. It is obvious that advanced computational methods are key elements required to tackle the challenges described above. The proposal for this mini-symposium will focus on the computational aspects of: • multiscale mechanical models for thrombi • Failure mechanisms for thrombi • Thrombus-device interaction • Uncertainty quantification of thrombus models • Development of surrogate models and digital twins of thrombi for clinical applications