Testing Digital Tools to Help Diagnose and Manage Parkinson's Disease

This study is testing two new digital devices — MachineMD and gaitQ — to see if they can help diagnose Parkinson's disease more accurately and track disease progression. Rather than relying on a doctor's observations during a clinic visit, these tools use technology to measure eye movements and walking patterns objectively. The research team wants to understand whether these digital tools could give doctors better, more detailed information to help diagnose Parkinson's earlier and provide more personalized care.

Currently, Parkinson's diagnosis depends heavily on what patients remember about their symptoms and how a neurologist observes them during an exam — which can be unreliable and subjective. This medication cannot measure small changes in the disease over time or catch early warning signs. The study aims to create objective, data-based diagnostic tools that are more precise and could help doctors catch Parkinson's sooner, when treatment may be most effective.