Impact Now: Digital Learning Tool Increases Accuracy of Diagnosis in Parkinson’s Disease

UCalgary researchers Dr. Taylor Chomiak, PhD, and Dr. Tamas Füzesi, 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’s disease from digitized handwriting samples. The researchers also foresee broader applications for the tool in the future.