Feb 15, 2023

S4Llite – One Step Ahead into the Future

S4Llite – One Step Ahead into the Future 

ZMT has natively implemented the computational life science platform Sim4Life in the cloud. Thanks to innovative and powerful new technology, the web version delivers the same performance that the Sim4Life desktop version can achieve on the most powerful desktop machine, but with instant sharing capabilities and without the overhead or the need for high-end hardware.

Sim4Life is the premier simulation platform used by academic and industry leaders in biomedical research and development for the most complex and advanced multiphysics simulations in complex environments like the human body.

Until today, a powerful desktop computer with advanced graphics cards was required to deal with the complexity of the Sim4Life platform. However, ZMT has taken a major leap into the future by leveraging the highly innovative o2S2PARC technology developed by the IT’IS Foundation under the NIH SPARC program to create a new cloud-based version of the powerful Sim4Life platform on the web: S4L.

Today, we released S4Llite, the student version of the soon-to-be released full version S4L

S4Llite in action: Watch the movie here.

S4Llite allows students to easily access, run, and share simulations in the cloud from any web browser. It offers the same features and performance as the Sim4Life desktop version but is more flexible, maintenance-free, and even easier to use. Most importantly, it does not require powerful in-house computational resources, as it relies on scalable cloud-computing infrastructure. S4Llite replaces the desktop version Sim4Life Light and is available free of charge for students.

Students from registered universities can access S4Llite through a free and easy-to-set-up online account. Existing users of the desktop version Sim4Life Light can smoothly migrate to the S4Llite version by uploading their projects to the online platform.

The full version of S4L, to be released in the spring, will provide unrestricted performance for the most complex modeling and simulation tasks in the cloud, along with full integration in the o2S2PARC platform, with its many additional tools and functionalities. Scientists will be able to integrate their S4L modeling with any other computational tools, or develop their own pipelines and applications and share them with the scientific community.

ZMT remains committed in supporting learning, education, and scientific research. Register here for S4Llite.

The Sim4Life Team


Example showing coupling of electromagnetics and neuronal dynamics simulations in S4Llite to investigate neurostimulation related quantities in the context of electroceuticals and bioelectronics medicine: shown is an electrode pair for electrical stimulation to initiate a neuroelectric response in the nerve trajectories located in the Virtual Population Yoon-sun V3.1 arm model.


Simulation showing a patch antenna array operating at mmWave frequency (28 GHz) in S4Llite to investigate the beam-steering capability of the antenna and the power density of the incident electromagnetic field on the cheek of the Yoon-sun V3.1 full body model.


S4Llite provides powerful ways to share entire projects and studies with classmates, teachers and educational groups, allowing students to easily collaborate and learn together.

Dashboard Tutorials

The Dashboard in S4Llite allows for quick and easy access and intuitive organization of users’ projects. The platform provides a rich and ever-growing set of entry-level as well as advanced and complex tutorials.




Jan 20, 2017



Successful NEUROMAN Project Start & Kickoff

Partners from Switzerland and Korea join forces to create first ever computational phantom with detailed neuronal networks.


Jan 1, 2017



ZMT Exhibitions and Workshops during 2017

ZMT Zurich MedTech will be exhibiting at the following conferences and exhibitions this year. If you would like to arrange a demo or meeting, or are interested in attending a technical workshop, please send an email to


Dec 20, 2016



Sim4Life V3.2 Release

With the Sim4Life Release V3.2, ZMT has taken a further key step towards offering not only the most versatile tool for simulating the complex reality, but also providing powerful model, simulation, and analysis parameterization and optimization. The release of a preview version of the Sweeper is accompanied by other novel general and application-specific features - such as adaptive sub-gridding, special tools for the automated analysis of implants, tools for electroceuticals/bioelectric therapies as well as the design and analysis of 5G and of other wireless transmitters.


Nov 25, 2016


A Brain–Spine Interface Alleviating Gait Deficits after Spinal Cord Injury in Primates

Sim4Life was used to investigate optimal electrode placements in a research project leading to a worldwide echoed Nature Pulication. 


Nov 24, 2016


Noninvasive Deep Brain Stimulation via Delivery of Temporally Interfering Electric Fields

An new method with the potential of enabling focal, non-invasive electrical stimulation of regions located deep within the brain developed using Sim4Life.


Jul 7, 2016



Sim4Life V3.0 Release

ZMT is pleased to announce the release of Sim4Life V3.0. This major release offers enhanced tools for in silico optimization of in-/on-body wireless devices, exposure assessment of wireless power transfer (WPT) systems and for the design of 5th generation (5G) wireless devices. It also adds many powerful new solvers and modules for neuronal and acoustic evaluations (e.g., brain and spinal cord stimulation, therapeutic ultrasound) and for magnetic resonance imaging (MRI) optimization and demonstration of MRI-safety of  implants.


Jul 1, 2016



ZMT Sponsors Student Awards at Latsis Symposium 2016 ETH Zurich on Personalized Medicine

ZMT Zurich Med Tech AG sponsored student awards with cash prizes at the Latsis Symposium 2016 on Personalized Medicine ETH Zurich. Lars Bomholt, CEO of ZMT, presented the awards to three young investigators singled out for their outstanding presentations of research results.

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