Developement of Stroke Prognosis Predictive Precision Medicine Based on a Digital Twin
NCT ID: NCT06035198
Last Updated: 2023-11-02
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
1000 participants
OBSERVATIONAL
2023-10-05
2026-12-31
Brief Summary
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This study will collect large-scale, high-quality clinical data and daily life exercise pattern data covering the subacute to chronic stages of stroke patients. Based on this, we will use artificial intelligence analysis technology to predict the functional status of stroke patients in the chronic stage after their disability is fixed. We aim to develop the next generation of personalized digital twins by creating a prognostic prediction model.
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Detailed Description
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Conditions
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Study Design
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COHORT
OTHER
Study Groups
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Stroke patients
Patients diagnosed with stroke at four hospitals in Korea
Stroke
No intervention
Interventions
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Stroke
No intervention
Eligibility Criteria
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Inclusion Criteria
* Patients who exist rehabilitation medical evaluation after stroke onset
* Patients who voluntarily decide to participate in this study
Exclusion Criteria
* Those who have impaired ability to consent (MMSE score less than 10 points) and not accompanied by a care-giver.
* In any other cases where the researcher determines that participation in this study is not appropriate.
20 Years
ALL
No
Sponsors
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Seyoung Shin
OTHER
Responsible Party
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Seyoung Shin
Principal Investigator
Principal Investigators
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Seyoung Shin, MD
Role: PRINCIPAL_INVESTIGATOR
CHA University
Locations
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Bundang CHA Medical Center
Gyeonggi-do, , South Korea
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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RS-2023-00262005
Identifier Type: -
Identifier Source: org_study_id
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