Computational modeling is a powerful tool for predicting medical device performance — but its credibility hinges on how well those predictions match reality. Under ASME V&V 40, validation must be grounded in evidence that reflects the model’s intended use and associated risk. For many devices, the most reliable and controllable source of this evidence comes from high‑fidelity in‑vitro test setups. That’s where our expertise elevates your simulation program.
At our facility, we design and execute targeted in‑vitro validation studies that provide the experimental data needed to build a robust, risk‑informed credibility case. Whether your model simulates hemodynamics, structural loading, fatigue behavior, or device–tissue interaction, we create controlled, reproducible test environments that generate the high‑quality data required for meaningful comparison.