Use of Machine Learning for Identification of Parkinson’s Disease and Mild Cognitive Impairment through Neuroimaging and Biofluid Biomarkers: A Study from the PPMI Cohort
Use of Machine Learning for Identification of Parkinson’s Disease and Mild Cognitive Impairment through Neuroimaging and Biofluid Biomarkers: A Study from the PPMI Cohort
13-year old researcher Anthaea-Grace Dennis shares her initial results exploring AI's vast potential to diagnose Parkinson's disease. This highlighted research was presented during the 2024 International Congress of Parkinson’s Disease and Movement Disorders (mdscongress.org). Authors: A-G. Dennis, A. Strafella (Toronto, Canada). Read the full abstract at mdsabstracts.org.