Development of Stroke Prognosis Predictive Precision Medicine Based on a Digital Twin
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
Seyoung Shin
70 participants
Nov 1, 2025
OBSERVATIONAL
Conditions
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.
Eligibility
Inclusion Criteria4
- 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 Criteria2
- 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.)
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Interventions
No intervention
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT07482579