Digital twins could revolutionize stroke rehab predictions
NCT ID NCT07482579
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study is collecting movement, activity, and genetic data from 70 stroke patients to create digital twins—virtual models that reflect each patient's recovery patterns. The goal is to develop a tool that predicts how well someone will recover after a stroke. No treatments or drugs are being tested; it's purely about gathering information to improve future care.
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 digital tool that helps doctors predict and personalize stroke recovery plans.
- What could go wrong
- This is an early observational study with no intervention, so it won't directly improve patient outcomes. The digital twin model may not prove accurate enough for clinical use.
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 STROKE 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
-
Bundang CHA Medical Center
RECRUITINGGyeonggi-do, Gyeonggi-do, 13497, South Korea
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Spinal zaps could reboot breathing after brain injury
- Can brain scans reveal hidden language struggles after stroke?
- Can lifestyle choices after a stroke extend life and prevent a second one?
- A tablet test aims to catch hidden attention and memory problems after stroke
- Can a gentle ear zap supercharge stroke rehab at home?
- Can exercise boost reading recovery in stroke survivors?