Neuromuscular disorders are often assessed with timed function tests (TFTs), which are quick to administer in the clinic but do not adequately capture disease-specific movement patterns. Parker Ruth and colleagues at Stanford used OpenCap to capture movement across two neuromuscular conditions and healthy controls. In under 20 minutes per participant, OpenCap not only reproduced traditional TFTs with high accuracy but also uncovered subtle, disease-specific movement signatures, such as gait differences, that TFTs cannot detect. This study highlights how OpenCap can provide scalable, sensitive, and clinically practical assessments to advance diagnosis, monitoring, and clinical trial design for neuromuscular disease.
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