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Author

Farahnaz Fallahtafti

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Open access Jul 2026

Prediction of Peripheral Artery Disease Treatment Decisions and Outcomes Using Machine Learning and Gait-Derived Digital Biomarkers

Background: Peripheral artery disease (PAD) is clinically heterogeneous, complicating identification, treatment selection, and prediction of therapeutic benefit. Gait biomechanics provide high-resolution, objective digital biomarkers that can be used in routine care. Methods: We built a computational framework for thre...

Ali Al Ramini, Farahnaz Fallahtafti, M. A. Takallou et al. · 0 citations

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