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.
Basheer Qolomany part of NU team studying peripheral artery disease unk.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from unk.edu Daily Mail and Mail on Sunday newspapers.
A team of researchers from three University of Nebraska institutions finished among the top 10 teams in a global competition to develop an artificial intelligence-driven model to advise policymakers on how best to handle the COVID-19 pandemic. In December, after phase 1 of the $500,000 Pandemic Response Challenge run by XPRIZE, which designs and [.]