WEBINAR

Toward InSilico Clinical Trials: Evaluating medical device performance via CFD on virtual patients

by Javier Garriz, Julien Deckx, Aaron Godfrey

 

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.

    In this webinar, you will learn more about:

    • How simulation has the potential to reduce the size, duration and cost of clinical trials
    • How “virtual patients” are created, and how statistical shape modeling extends their value
    • How CFD simulation and virtual patients can be used to assess the performance and robustness of medical devices

     

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