{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Impact Now: Digital Learning Tool Increases Accuracy of Diagnosis in Parkinson\u2019s Disease","description":"UCalgary researchers Dr. Taylor Chomiak, PhD, and Dr. Tamas F\u00fczesi, PhD, share details of the tool they have created to help their team identify patterns embedded in digital data. Local Topological Recurrence Analysis (LoTRA) is a simple machine learning model capable of outperforming deep-learning models in detecting Parkinson\u2019s disease from digitized handwriting samples. The researchers also foresee broader applications for the tool in the future. ","author_name":"Now Innovating","author_url":"https:\/\/research.ucalgary.ca\/innovation\/ecosystem\/now-innovating-research-impact-podcast","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/21824720\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/content\/119593625"}