Toward InSilico Clinical Trials: Evaluating medical device performance via CFD on virtual patients
by Javier Garriz, Julien Deckx, Aaron Godfrey
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 over 20 years of working in high-technology and related fields, Javier has held roles in aerospace research, software development, medical device development, technical training, technical sales, and product management, in organizations ranging from small start-ups to Fortune 500 companies. In his most recent role prior to joining Siemens, Javier led the product management efforts of a small team of engineers and scientists who took a first-of-its-kind medical device from the prototype stage through to FDA clearance and production-readiness.
Javier joined Siemens in 2016, and has been serving as marketing manager for the Simcenter Energy and Medical Device campaigns in the Simulation & Test Solutions business segment. Javier holds Bachelor and Master of Science degrees in Aerospace Engineering, with an emphasis in Computational Fluid Dynamics, from the University of Alabama.
Technical Specialist, Siemens Digital Industries Software
Aaron Godfrey works for the Siemens Industry Software as a Design Exploration technical specialist. His previous experience includes customer support, and development. He has worked extensively with industry experts to apply optimization and design of experiments to complex design challenges requiring CFD. He has a Bachelor’s of Science in Biological Engineering and a Master’s of Science in Mechanical Engineering both from Utah State University.
Product Manager, Virtual Patient Solutions, Materialise