Digital twin to predict stroke recovery and enable personalized care
Official title: A Study for the Development of Prognosis Predictive Precision Medicine Based on a Digital Twin Reflexing the Motor Patterns in Stroke Patients: a Prospective Study
Run by CHA University · NCT07482579 · Data updated 2026-11-12
The study collects clinical, daily movement, and genetic data from adults with recent stroke to see if personalized digital models can predict their recovery.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 20 Years and up |
| Sex | All |
| Enrollment | 70 (estimated) |
| Sponsor | CHA University Academic / other |
| Locations | 1 site (Gyeonggi-do, Gyeonggi-do) |
| Status | Recruiting |
| Started | November 1, 2025 |
| Main results expected | December 31, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | March 25, 2026 |
| Trial ID | NCT07482579 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 20 or older with a confirmed stroke within one month of onset, limited ambulatory ability (FAC score 0–3), and the ability to give informed consent (or with a representative) are the intended participants.
✕Probably not a fit
People beyond the one-month post-stroke window, those with better ambulatory function (FAC >3), or those with severe cognitive impairment without a caregiver are less likely to benefit from this protocol.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This is a longitudinal, observational effort enrolling adults within one month of stroke to capture recovery from the subacute into the chronic stage. Researchers will collect high-quality clinical information, continuous daily activity and movement patterns (likely via wearable or monitoring devices), and genomic data to create a multidimensional patient dataset. The combined data will be used to develop visual, data-driven representations and predictive models—sometimes described as a "digital twin"—to characterize individual recovery trajectories. All participation is non-interventional and conducted at a single center with serial follow-up to track outcomes over time.
Why it matters
Potential benefit: If successful, the project could help clinicians give more personalized prognosis and guide tailored rehabilitation strategies for people after stroke.
How similar studies have gone: Previous research has used wearables, registries, and genomic data separately to study stroke outcomes, but integrating these streams into a clinical "digital twin" is relatively novel and not yet widely proven.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adults aged 20 years or older with a confirmed diagnosis of stroke. * Within 1 month after stroke onset. * Patients scoring between 0 and 3 points on the Functional Ambulatory Category (FAC) test. * Patients or their legally authorized representatives who have fully understood the details of this study, voluntarily decided to participate, and provided written informed consent to comply with the study instructions. Exclusion Criteria: * Patients with impaired ability to provide consent (MMSE score less than 10) who are not accompanied by a caregiver. * Any other cases deemed inappropriate for participation by the investigator. (This study is non-interventional; therefore, patients who are currently participating in or have participated in another clinical study or research within the past 30 days may still be included.)
Where it's running
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Bundang CHA Medical Center
Gyeonggi-do, Gyeonggi-do, South Korea Recruiting
Study contacts
- Principal investigator: Seyoung Shin, MD — CHA University
- Study coordinator: Seyoung Shin, MD
- Email: seyoung0706@chamc.co.kr
- Phone: +82437505000
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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This project will test whether a detailed health and sample-collection approach (deep phenotyping) is practical and acceptable for people aged 18–55 who have had a stroke.
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This trial tests whether a mobile telerehabilitation app delivering action observation therapy (AOT) alone or combined AOT with mirror therapy (AOT-MT) can improve upper limb function in people with subacute stroke.
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Remote Ischaemic Conditioning for Fatigue After Stroke 2
Aat least 12 weeks after stroke, adults with post-stroke fatigue will try a simple hand-arm cuff treatment at home to see if it helps reduce fatigue.
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.