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  • Machine learning helps spot gait problems in individuals with multiple sclerosis

    Group portrait of researchers Manuel Hernandez, Rachneet Kaur and Richard Sowers.

    Researchers Manuel Hernandez, left, Rachneet Kaur and Richard Sowers have developed a machine-learning algorithm that could help doctors spot gait problems in people with multiple sclerosis and determine if they are a result of the disease or healthy aging.

    Photo by L. Brian Stauffer

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  • Editor’s notes:

    To reach Rachneet Kaur, email rk4@illinois.edu.

    To reach Manuel Hernandez, email mhernand@illinois.edu.

    To reach Richard Sowers, call 217-333-6246; email r-sowers@illinois.edu.

    The paper “Predicting multiple sclerosis from gait dynamics using an instrumented treadmill - A machine learning approach” is available online and from the U. of I. News Bureau. DOI: 10.1109/TBME.2020.3048142.