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GaitDynamics: a generative foundation model for analyzing human walking and running

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Year: 2026
Type: article
Source: Nature Biomedical Engineering
DOI: 10.1038/s41551-025-01565-8
Authors: Tian Tan, Tom Van Wouwe, Keenon F. Werling, C. Karen Liu, Scott L. Delp, Jennifer L. Hicks, Akshay S. Chaudhari
Institutions: Stanford University, Stanford Medicine
Language: English

Topic: Lower Extremity Biomechanics and Pathologies
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institute of Biomedical Imaging and Bioengineering, U.S. National Library of Medicine
Awards: G9000007600, G9000042227, G9000196328, Mobilize Center: Models for Mobile Sensing and Precision Rehabilitation, Imaging of Joint Response to Physiological Stress with Age, Sex and in Osteoarthritis, AddBiomechanics: Automatic Processing and Sharing of Human Movement Data, National Center for Foundational Artificial Intelligence for Rehabilitation (FAIR Center)
OpenAlex ID: W7118166145
FWCI: 24.39
Cites: 72
Cited by: 16
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