This year at the workshop, we will specifically focus on the advancements of image-based modeling with Sim4Life. Participants will learn how the latest neuro-functionalized Virtual Population phantoms Yoon-sun V4.0 and Jeduk V4.0 enable neuroscientists to simulate and predict neurostimulation of the peripheral or autonomic nervous system by medical devices. They will also learn about Sim4Life’s new Electromagnetic Quasistatic Solver Suite (see below) and its powerful unstructured mesher, which permit the development of realistic nerve models from nerve cross section images, the modeling of heterogeneous and anisotropic tissue properties, and to mimic the potential influence of bioelectronic devices on nerve functions. Finally, the workshop will provide a great opportunity to hear about the latest achievements of o2S2PARC – the open online platform of the NIH SPARC program that hosts all computational models developed by SPARC teams and allows to share, execute, and couple these models to facilitate in silico studies in the context of bioelectronic medicine.
The detailed workshop agenda is forthcoming and will be communicated soon.
Please note that our SfN Sim4Life Workshop has been very popular last year and only limited seating is available. Registration is required and will be handled on a first-come first-served basis. You will receive a confirmation email within 24h.
In addition, don’t miss the chance to meet our experts at Booth #1937, who will present our latest developments, including:
Neuro-functionalized Computational Phantoms
The two latest IT’IS Virtual Population models Yoon-sun V4.0 and Jeduk V4.0 are now available for use in Sim4Life. They are fully compatible with ZMT’s T-NEURO module. Both phantoms consist of more than 1200 tissues and depict an extremely detailed model of the human anatomy, including neuro-functionalized nerve trajectories that are modeled as splines and assigned default nerve physiology parameters from the literature. Sensory- and motor-neuron nerve fiber models are automatically assigned to the different trajectories, and nerve tissue padding can be added.
Sim4Life’s New Electromagnetic Quasistatic Solver Suite
This high performance computing-powered solution enables efficient modeling of static and quasistatic electromagnetic (EM) regimes by applying the finite element method on unstructured and structured (graded voxel) meshes. The unstructured quasi-static EM solvers support localized refinement, or conformal adaptivity. It also features unique semi-insulating layers, anisotropic tensorial inhomogeneous electrical conductivity distributions (e.g., image-based), and specialized visualization and analysis tools.
The latest release of the fastest and most versatile way for neuronal dynamics simulations has been aligned with the safety assessment and therapy needs of the neuromodulation community. T-Neuro provides multiple electrophysiological models of axons, permitting the development of computational realistic neuroelectric models of nerves. It features an arbitrary number of myelinated and unmyelinated axons to quantify the influence of electrical stimulation on nerve functions, to optimize neural interfaces of bioelectronic devices, and to perform safety evaluations.
We are looking forward to an exciting workshop in Chicago!
The ZMT Zurich MedTech Team