Actively Recruiting
Development of Stroke Prognosis Predictive Precision Medicine Based on a Digital Twin
Led by Seyoung Shin · Updated on 2026-03-25
70
Participants Needed
1
Research Sites
60 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
To collect large-scale, high-quality clinical data, daily activity and movement patterns, and genomic information from stroke patients spanning the subacute to chronic stages. This study aims to establish the foundation for personalized precision medicine in stroke care and to develop a visual and digital transformation of patient medical information in the era of digital healthcare.
CONDITIONS
Official Title
Development of Stroke Prognosis Predictive Precision Medicine Based on a Digital Twin
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Adults aged 20 years or older with a confirmed diagnosis of stroke.
- Stroke onset within 1 month.
- Functional Ambulatory Category (FAC) score between 0 and 3 points.
- Patients or legally authorized representatives who understand the study and provide written informed consent.
You will not qualify if you...
- Patients unable to provide consent (MMSE score less than 10) without a caregiver.
- Any cases deemed inappropriate for participation by the investigator.
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Bundang CHA Medical Center
Gyeonggi-do, Gyeonggi-do, South Korea, 13497
Actively Recruiting
Research Team
S
Seyoung Shin, MD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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