Video-Based Tracking of Clinical States in Patients with Parkinson's Disease
Currently, there is an unmet need for an accessible method of objective diagnosis and tracking of motor symptoms in Parkinson’s Disease (PD). The ability to quantify motor symptom progression in PD patients is crucial for assessing and optimizing therapeutic interventions, such as dopaminergic medications and deep brain stimulation (DBS). This summer, I will continue the development and validation of a computer-vision-based analysis pipeline for tracking clinical states in PD based on simple recordings of patients performing motor-related tasks. By developing this pipeline, we hope to allow affordable, accessible, and automated monitoring of PD disease progression tailored for clinical interpretation.
Message To SponsorThank you so much for your support! I am excited about the opportunity to continue my research project and to learn and develop as a researcher before I enter graduate school. I am hopeful that we can make great progress in advancing disease monitoring, which would not have been possible without your generosity!
Major: Computer Science & Molecular and Cellular Biology
Mentor: Reza Abbasi-Asl, UC San Francisco
Sponsor: Anselm MPS Fund