Benchtop Validation - Robb Colbrunn

Description

This presentation is conducted by a researcher from the Cleveland Clinic, focusing on advancements in the validation of orthopedic biomechanics. The speaker, positioned as a non-modeler, delves into the context behind modeling, asserting that while models are inherently imperfect, some can still be valuable and effective when applied correctly. They underline the significance of context in using models and highlight the importance of verification data during the modeling process, specifically in the domains of in vivo, in vitro, and in silico research.



The speaker provides insights into in vitro biomechanical testing—praising robotic technology capable of simulating complex loading conditions across major joints—and explains how modern robots excel in six degrees of freedom (6DOF) force control, allowing for precise joint testing. Videos supplement the presentation, showcasing the real-time capabilities of these robots and the types of studies being conducted, including replicating surgical maneuvers and testing various conditions on specimens.



Advances in technology and protocols are emphasized, including the development of customizable specimen modules for specific joints, adaptive compensation for real-time control, and a neural network classifier that enhances the accuracy of simulations based on individual characteristics during gait analysis. The speaker advocates for the integration of in vitro data with computational models to enhance understanding and practical applications in clinical contexts.



As the conclusion approaches, the speaker resonates a belief that validation is crucial in connecting experimental results with computational models, enhancing their reliability and promoting better patient care. The overarching message encourages collaborative approaches across the different domains of biomechanical research to push the boundaries of understanding how mechanical forces affect human anatomy.

Specialties