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ZMT Sim4Life 2025 v9.0

Sim4Life V9.0 is designed with a focus on extendability and enhancement of cloud-powered performance. Version 9.0 now includes new tools for optimization, artificial intelligence (AI-) driven segmentation, and plugin support to facilitate powerful, automated workflows throughout the entire modeling chain. Sim4Life V9.0 – available for both web and desktop – delivers more power, flexibility, and integration to your simulation workflows.


Available versions: 9.x , 8.x , 7.x ,…


ZMT Sim4Life 2025 v8.2.2 Tested Picture

Significant Enhancements in V9.0

Unified Ecosystem

Sim4Life.web V9.0 is now fully integrated with the o²S²PARC platform, providing access to a comprehensive computational ecosystem originally developed under the SPARC program of the U.S. National Institutes of Health initiated to advance bioelectronic medicine. The o²S²PARC cloud-based platform connects specialized simulation tools, data analysis pipelines, and computational models across health and life sciences research communities, enabling complex multi-disciplinary workflows that bridge electromagnetic modeling, neural stimulation analysis, and therapeutic outcome prediction.

The transformative power of the o²S²PARC ecosystem has already been demonstrated through, e.g., novel convolutional neural network (CNN-) based image segmentation pipelines for individualized spinal cord stimulation modeling [1], precision non-invasive brain stimulation through comprehensive in silico personalization pipelines [2], and activity-dependent spinal cord neuromodulation that restores motor function after complete paralysis due to spinal cord injury [3]. These breakthrough studies exemplify how the integrated o²S²PARC environment enables investigations not accessible to researchers using isolated and limited simulation tools.

Third-Party Plugin Integration

The new open plugin framework allows users to integrate their own or third-party simulators and solvers, such as FEniCS and SionnaRT, thereby expanding the range of supported physics applications and enabling custom workflows, all within a unified interface. These plugin simulators can then take advantage of Sim4Life’s powerful modeling, preprocessing, cloud computing, and post-processing functionalities.

Rich Automated Workflows

The new pipelining and workflow environment allows users to build, automate, and share advanced multi-stage simulation pipelines. Whether optimizing devices, ensuring regulatory compliance, or conducting fundamental research, users can now connect applications – in an automated manner – across the Sim4Life ecosystem for reproducible and collaborative research.

Cloud Scalability – Now on the Desktop, Too

With native cloud integration, users can submit and manage simulations directly from either the Sim4Life desktop or web interface, leveraging scalable central processing unit and graphics processing unit resources on demand and gaining access to a nearly infinite pool of powerful high-performance computing infrastructure. Transparent job tracking, real-time cost monitoring, and one-click publishing make managing large-scale projects effortless, no matter where you are.

Advanced Anatomical Modeling and AI-Powered Tools

Sim4Life V9.0 takes anatomical realism one step further: the Virtual Population (ViP) and Virtual Zoo (ViZoo) libraries are complemented by new and upgraded AI-powered segmentation tools and tools for head-related modeling (e.g., automatic 10-10 system electrode placement, AI-powered registration of brain and head atlases, etc.) and automated trunk segmentation from MRI/computed tomography images to streamline model creation. The expanded tissue property database that now includes updated thermal and water content data is proof of ongoing efforts to ensure that the tissue material properties used in Sim4Life simulations remains reliable and up-to-date.

A Preview of Surrogate Modeling, Optimization, and Uncertainty Quantification

The Sim4Life V9.0 innovative meta-modeling framework leverages state-of-the-art intelligent algorithms, e.g., from the Dakota Project (Sandia National Laboratories, Albuquerque NM, USA), for surrogate modeling, optimization, and uncertainty quantification applied to integrated simulation pipelines. Efficient design-of-experiment tools and advanced uncertainty propagation provide deeper insights into model sensitivities, which are performance-critical for robust device design and regulatory submissions. Stay tuned: more sophisticated tools and applications that can make use of the meta-modeling framework will expand rapidly in upcoming releases!

Implant Safety

The IMAnalyticsSuite V1.8 introduces powerful new tools designed to support the latest trends in implant safety assessment. In this release, B1 field analysis is enhanced with flexible slicing and visualization capabilities, including maximum intensity projections (MIPs) and customizable B1+ and B1 field views across arbitrary planes. New functions allow users to compute homogeneity metrics like the coefficient of variation based on masked regions and assess average B1+ or B1 within defined slabs around the isocenter. Users can thus now restrict power deposition analysis to exposure scenarios that meet specific B1+ homogeneity thresholds, streamlining compliance with evolving safety guidelines and reducing overestimation.

Sim4Life.lite: Empowering the Next Generation

The Sim4Life.lite student edition remains freely available online. Sim4Life.lite supports up to 20 million grid cells per project, far exceeding the computing power of any competitor’s student offering. The annual Sim4Life Student Competition recognizes outstanding student research in numerical simulation. Be part of this year’s contest and compete for the exciting awards!


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