AI-powered and computational design tools can generate intricate geometries for surgical instruments, drug-delivery systems, robotic components, diagnostic equipment, and other medical technologies. But a design optimized in software must still be translated into a reliable physical part. In this episode, Eric Utley, Applications Engineering Leader at Protolabs, explores how engineers take complex, algorithm-generated concepts from CAD model to prototype and, ultimately, production. He will help us understand the trade-offs required to balance design complexity with performance, repeatability, cost, and manufacturability.

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