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Which cardiovascular devices are the most common ones to adopt digital patient twins and medical simulations? ⬇ Any medical device company can benefit from introducing these new technologies into their workflow, either to reduce costs, speed up development, or to ensure their device fits the most number of patients. So far, we have seen great adoption rates in the following device groups, but with the FDA highlighting the use of Computational Modeling and Simulation for regulatory purposes, we expect even more cardiovascular (and other) devices embracing this change and staying ahead. ❇ Heart Valves: Getting heart valves just right is crucial. With digital patient twins, you can simulate and test the designs in a virtual environment, ensuring they fit and function perfectly before creating physical prototypes, and assess how they will behave over time, predicting wear and potential failure points. ❇ Stents and Grafts: Medical simulations let you simulate blood flow and vessel dynamics, helping you fine-tune stents and grafts for maximum safety and effectiveness. ❇ Pacemakers and Defibrillators: These devices need to be super reliable. Simulations, electromagnetics and our 4D analysis allow you to simulate different scenarios and patient conditions, making your devices more robust and dependable. ❇ Catheters and Guidewires: Navigating the complex pathways of the cardiovascular system requires high precision. Digital patient twins help you refine your designs for better navigation and deployment in tricky anatomical structures. These technologies not only speed things up and reduce costs but also improve the safety and performance of your devices. The companies that are adopting our #digitaltwin technology are gaining incredible insights and precision, leading to breakthroughs in cardiovascular care. If you are a developer of a cardiovascular medical device, contact us for a free consultation. We'd love to help you introduce these technologies at any point in your development!📥 #stents #catheters #valves #pacemakers #medicalsimulations #clinicaltrials #medtech #digitalhealth

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