AI-Powered smartwatch could forecast Parkinson's worsening
NCT ID NCT07189468
First seen Jun 26, 2026 · Last updated Jun 26, 2026
Summary
This study will test whether artificial intelligence (AI) can predict how Parkinson's disease will progress and how patients will respond to medication. One hundred people with Parkinson's will wear a smartwatch and use a mobile app for one year. The AI models will analyze data from the watch, along with clinical and genetic information, to see if they can forecast motor decline and side effects.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a tool that helps doctors personalize Parkinson's treatment and predict how the disease will progress.
- What could go wrong
- This is an early study with only 100 people. The AI models may not work as well in real-world settings or for all patients.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for PARKINSON DISEASE (DISORDER) are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Hospital Ruber Internacional
Madrid, Spain
-
Queen Mary University of London
London, United Kingdom
-
Technische Universität Dresden
Dresden, Germany
-
University Hospital of Toulouse
Toulouse, France
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Parkinson's pain: could a new Add-On drug bring relief?
- Could your own bone marrow cells help fight Parkinson's?
- Could gut microbes hold clues to Parkinson's?
- Brain implant for Parkinson's may raise fall risk — a study investigates
- Could hand exercises sharpen the mind in Parkinson's?
- Which balance test best predicts falls in Parkinson's? a head-to-head comparison