Creating personalized digital models to predict stroke recovery
Developement of Prognosis Predictive Precision Medicine Based on a Digital Twin Reflecting the Motor Patterns in Stroke Patients
CHA University · NCT06035198
This study is testing a new way to use personal data and technology to predict how well stroke patients will recover, so they can get tailored treatments that fit their needs.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 1000 (estimated) |
| Ages | 20 Years and up |
| Sex | All |
| Sponsor | CHA University (other) |
| Locations | 1 site (Gyeonggi-do) |
| Trial ID | NCT06035198 on ClinicalTrials.gov |
What this trial studies
This study aims to develop customized precision medicine for stroke patients by collecting extensive clinical and daily life data from individuals in the subacute to chronic stages of stroke. Utilizing artificial intelligence, the study will analyze this data to predict the functional outcomes of stroke patients after their disabilities have stabilized. The goal is to create a prognostic prediction model that serves as a digital twin for personalized treatment approaches in stroke rehabilitation.
Who should consider this trial
Good fit: Ideal candidates include adults over 20 years old who have experienced a stroke between January 2018 and July 2023 and have undergone rehabilitation evaluations.
Not a fit: Patients with severe internal diseases or those unable to provide consent due to cognitive impairments may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to more tailored rehabilitation strategies and improved recovery outcomes for stroke patients.
How similar studies have performed: While the use of digital twins in healthcare is an emerging field, similar studies have shown promise in predictive modeling and personalized medicine, indicating potential for success.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adults over 20 years of age with a history of stroke onset between 2018.01.01 to 2023.07.31. * Patients who exist rehabilitation medical evaluation after stroke onset * Patients who voluntarily decide to participate in this study Exclusion Criteria: * Those who have severe internal diseases such as unstable conditions of the cardiovascular system, digestive system, respiratory system, endocrine system, etc. and are in poor overall condition. * 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.
Where this trial is running
Gyeonggi-do
- Bundang CHA Medical Center — Gyeonggi-do, Korea, Republic of (RECRUITING)
Study contacts
- Principal investigator: Seyoung Shin, MD — CHA University
- Study coordinator: Seyoung Shin, MD
- Email: seyoung0706@chamc.co.kr
- Phone: +821094113333
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Stroke