Toward Insilico Clinical Trials: Evaluating Medical Device Performance via Cfd on Virtual Patients
As multiphysics simulations become increasingly capable, the possibility of conducting fully digital (“In Silico”) clinical trials gets closer to reality, with the potential to enhance human trials and reduce their size, duration and cost. One example: performing high-fidelity Computational Fluid Dynamics (CFD) simulations of medical devices used on virtual patients, which can be a powerful tool for realistically assessing device performance and accelerating R&D by complementing bench tests, and tests performed on animals or cadavers.
One way to create virtual patients is to use CT or MRI scans of real patients and convert them into 3D anatomical shapes. Statistical shape modeling can enhance this database by generating average or worst-case anatomies. In this webinar, we’ll demonstrate how the performance of a CFD-optimized hemodialysis catheter can be evaluated on virtual patients representing a wide range of actual human anatomies, including an assessment of the performance effects of varying the catheter placement in the anatomy.
What you will learn
- How the performance of a CFD-optimized hemodialysis catheter can be evaluated on virtual patients representing a wide range of actual human anatomies,
- How to use simulations to assess the performance effects of varying the catheter placement in the anatomy.
As an engineer in the medical field, your dream is to make a positive impact on patient care. To inspire you as you advance anatomical engineering even further, we have created a webinar series that sets the stage for our customers to share their powerful insights on how their cutting-edge work is contributing towards making the world a healthier place through innovation.
Follow the series and discover how powerful insights lead to inspiring outcomes.