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Basheer Qolomany part of NU team studying peripheral artery disease Post Views: 931
Research project title: Machine learning applications for gait signatures in patients with peripheral artery disease
Grant award: University of Nebraska Collaboration Initiative Grant. This project has been funded for a two-year total of $149,405.
Project description: In this project we propose a novel approach for the detection and monitoring of peripheral artery disease (PAD) progression using wearable devices and machine learning to analyze human gait. The long-term goal of this project is to use wearable devices in concert with machine learning to improve the diagnosis and treatment of functional problems in patients with PAD outside the clinical setting.