Development of a Genomics-based Multimodal Prediction Model for Post-stroke Vascular Dementia
NCT07660263 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 300
Last updated 2026-07-29
Summary
To collect large-scale multimodal data, including genomic information, neuroimaging, neurophysiological measures, cognitive assessments, and clinical characteristics from stroke survivors and healthy controls.
This study aims to develop and validate an integrated prediction model for identifying individuals at high risk of post-stroke vascular dementia and to establish a foundation for precision medicine approaches in stroke-related cognitive impairment.
Conditions
Sponsors & Collaborators
-
Seyoung Shin
lead OTHER
Eligibility
- Min Age
- 19 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-07-24
- Primary Completion
- 2030-12-31
- Completion
- 2030-12-31
Countries
- South Korea
Study Locations
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