Development of Stroke Prognosis Predictive Precision Medicine Based on a Digital Twin
NCT07482579 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 70
Last updated 2026-03-25
Summary
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
Interventions
- OTHER
-
No intervention
Sponsors & Collaborators
-
Seyoung Shin
lead OTHER
Principal Investigators
-
Seyoung Shin, MD · CHA University
Eligibility
- Min Age
- 20 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-11-01
- Primary Completion
- 2026-12-31
- Completion
- 2026-12-31
Countries
- South Korea
Study Locations
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