Thanks to recent advancements in computational modeling, wearable sensing, and device design, researchers can now create personalized insights to improve the effectiveness of training, optimize equipment, and speed up recovery from injuries like never before. In Dr. Karen Liu’s presentation, she explored the current state of digital twins and whether we can reach a ChatGPT level of intelligence. 

“If we build something like that, we can probably predict anything from the outcome of muscle training to sport technique improvements to injury prevention,” said Liu, a member of the Alliance’s Digital Athlete moonshot at Stanford University. “Or we can use digital twins to build exoskeletons or create more effective surgical planning. And we can make those digital twins both generalized and personalized to individuals — but only if we have the data.” So do we have the kind of data that we need?

For answers to that question and more, we invite you to visit the session’s recording at our YouTube channel.

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