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Meta and Mark Zuckerberg present MyoSuite, a program that creates “digital humans” to test prosthetics

In conjunction with Mark Zuckerberg’s University of Twente, Meta, he developed this open source framework that combines skeletal muscle models and AI.

 

How to know if the prosthesis that is being built will 100% help the person who needs it? Under this doubt, Meta, a Mark Zuckerberg company, together with the University of Twente, created an open source framework called MyoSuite, which combines models of skeletal muscles and artificial intelligence.

The “digital humans” created by MyoSuite mimic complex movements that contribute to better prosthetic development.

These AI-powered digital models build realistic muscle and skeletal simulations up to 4,000 times faster than current prosthetics.

MyoSuite, Meta’s artificial intelligence program to improve prosthetics
According to the researchers, they can train the models to perform certain complex motor movements, such as spinning a pen or rotating an arm. Eventually it would also be used for the design of new surgical and physical rehabilitation techniques.

Meta’s goal is to make MyoSuite open source so that other researchers can use it and make further advances in the field of prosthetics.

Meta’s MyoSuite would optimize prosthetics, according to Mark Zuckerberg
Mark Zuckerberg introduced MyoSuite in a Facebook post this week:

“Interesting: The Meta AI team has developed a new AI platform called MyoSuite, which creates realistic musculoskeletal simulations that run up to 4,000 times faster than state-of-the-art,” wrote the head of Meta, formerly Facebook.

“This research could accelerate the development of prosthetics, physical rehabilitation and surgical techniques. It could also help us develop more realistic avatars for the metaverse. We’re going to open up these models so that researchers can use them to further advance the field,” Zuckerberg said.

Massimo Sartori, one of the team’s researchers, talked about MyoSuite.

“If we could predict the outcome of a robotic therapy in advance, we could optimize it for a patient and provide a truly personalized and cost-effective treatment,” Sartori said, in statements released by Meta.

“We hope that the various features supported by our framework will open up new opportunities to understand neuromechanical systems that interact with artificial robotic agents.”

MyoSuite could also be trained to interact with assistive robots, such as exoskeletons, simulating conditions such as muscle fatigue, muscle sarcopenia, tendon tearing and firming.




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