Researchers at TAU’s Faculty of Medical & Health Sciences invited the international community of machine learning researchers to participate in a contest devised to advance their study and assist neurologists: developing a machine learning model to support a wearable sensor for continuous, automated monitoring and quantification of freezing of gait (FOG) episodes in people with Parkinson’s disease. Close to 25,000 solutions were submitted, and the best algorithms were incorporated into the novel technology.
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