Trials / Completed
CompletedNCT06035198
Developement of Stroke Prognosis Predictive Precision Medicine Based on a Digital Twin
Developement of Prognosis Predictive Precision Medicine Based on a Digital Twin Reflecting the Motor Patterns in Stroke Patients
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 1,192 (actual)
- Sponsor
- Seyoung Shin · Academic / Other
- Sex
- All
- Age
- 20 Years
- Healthy volunteers
- Not accepted
Summary
The purpose of this study is to realize customized precision medicine for stroke patients and the visual digitization of patient medical information required in the era of digital transformation. 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.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | Stroke | No intervention |
Timeline
- Start date
- 2023-10-05
- Primary completion
- 2025-12-31
- Completion
- 2025-12-31
- First posted
- 2023-09-13
- Last updated
- 2026-03-18
Locations
1 site across 1 country: South Korea
Source: ClinicalTrials.gov record NCT06035198. Inclusion in this directory is not an endorsement.