Medical device developers, tech innovators, software developers, and academic researchers, join the Digitally-Derived Endpoints for Freezing-of-Gait Detection (DEFoGD) Challenge and help improve the development and assessment of endpoints related to Parkinson’s disease.
People with Parkinson’s disease may experience temporary, involuntary periods where they are unable to move their feet when trying to walk, known as freezing of gait. This lack of mobility can impact a patient’s balance and increase their risk of falling.
The DEFoGD Challenge — hosted by the U.S. Food and Drug Administration’s (FDA) Center for Devices and Radiological Health (CDRH) and Office of Digital Transformation’s precisionFDA — is seeking artificial intelligence (AI) models to identify and predict freezing of gait (FoG) events related to Parkinson’s disease. These AI models will foster digital health innovation and may speed up the development of new and effective approaches to helping people with this disease.
The top performing AI models from Phase 1 will be deployed and evaluated against validated FoG data in Phase 2, helping to determine best practices for using AI-enabled models to develop and validate measures from wearable devices and smartphones. The DEFoGD Challenge launched on May 28, 2024.
The DEFoGD Challenge is underway, and submissions will be accepted through August 2, 2024.
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