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An international machine learning contest initiated by researchers at Tel Aviv University produced remarkable results in developing a machine learning model to support a wearable sensor for continuous, automated monitoring and quantification of 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. The study was published in Nature Communications and featured in the journal’s Editors’ Highlights.