Building Medical Digital Twins with Pulse: Open Source Simulation Tools for Developers and Researchers
Medical digital twins are virtual representations of patients that simulate injuries, diseases, and treatments, accelerating innovation in healthcare. They’re increasingly used to improve outcomes, generate synthetic data, and support the development of AI algorithms, training tools, and commercial products.
The Pulse Physiology Engine is a powerful open source platform designed to advance digital twin technologies across a range of applications. Pulse allows users to customize patient models, dynamically apply physiological changes, and output detailed data streams. These capabilities support everything from AI training in data-sparse scenarios to testing personalized treatment strategies and developing high-fidelity medical simulations.
Pulse also integrates easily into training platforms, including screen-based systems, manikins, and virtual reality environments. Developers can take advantage of built-in tools, such as the Pulse Explorer (a free user interface), Unity assets, and Unreal plugins, to streamline development and experimentation.
This webinar will provide an introduction to the Pulse Physiology Engine and Pulse Explorer, highlight real-world examples of Pulse in both research and commercial settings, and guide you through the process of getting started with Pulse.
Key Takeaways:
- Understand how medical digital twins work through an overview of Pulse’s computational physiology models and validation strategies.
- See real-world impact as we walk through case studies of how Pulse is used in research, AI development, and commercial products.
- Explore Pulse hands-on with a live demonstration of the open source Pulse Explorer to simulate and analyze patient scenarios.
- Get practical guidance on integrating Pulse into your own workflows and hear answers to your questions from the team behind the technology.
from the Pulse experts on Building Medical Digital Twins with Pulse.