FUTURE WEBINAR - 2026, Tuesday September 8th - “From years to a single day: cloud-powered in silico clinical trials deliver 1,000x acceleration in medical device innovation”
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Traditional clinical trials for medical devices—from shoulder and knee implants to heart valves and spinal fusion devices—typically require 3 to 10 years of patient enrollment, follow-up, and regulatory review before life-changing innovations reach patients. During this long period, patients suffer from not having access to new treatments; some of them even die. Even accelerated in silico clinical trials, which use computational modeling to simulate surgical outcomes on virtual patient populations, have until now been constrained by on-premises computing limitations, with a single study of 3,000 surgical simulations taking 3 to 6 months to complete.
A collaboration between Zimmer Biomet, AWS, Dassault Systèmes, Ansys, Part of Synopsys, and Invisibl Cloud has shattered this barrier. By migrating an in silico trial pipeline for total shoulder arthroplasty to AWS cloud infrastructure and massively parallelizing the workflow, the team completed 30,000 virtual surgery simulations—equivalent to three years of shoulder replacement procedures performed across the entire United Kingdom—in a single day. This represents a 1,000x acceleration: 10x more virtual patients processed 100x faster than the previous industry benchmark. More importantly, this translates into medical innovation reaching the patient much faster, eliminating pain and suffering.
This breakthrough demonstrates that cloud-scale high-performance computing can fundamentally transform how groundbreaking innovations in orthopedic implants, cardiovascular devices, and other medical technologies are accelerated—compressing timelines from years to days, enabling broader uncertainty quantification, and ultimately delivering innovative treatments faster to patients needing relief.
