Creating personalized digital models to predict stroke recovery

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

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.

Why it matters

Who can join: the full rules

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 it's running

• 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

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

• Deep phenotyping to explore recovery in young adults after stroke

  This project will test whether a detailed health and sample-collection approach (deep phenotyping) is practical and acceptable for people aged 18–55 who have had a stroke.

  Recruiting The Florey Institute of Neuroscience and Mental Health · Heidelberg, Victoria and 1 other locations · NCT07019493

• Stem cell therapy for chronic stroke recovery

  This study is testing whether using a patient's own stem cells can help people with long-term stroke recovery feel better and improve their daily functioning.

  Recruiting Phase 2 Hokkaido University Hospital · Sapporo, Hokkaido · NCT06752720

• AI-based tools to help diagnose, treat and predict stroke outcomes across multiple hospitals

  This study tests AI-powered tools on real-world stroke patients to see if they can improve pre-hospital triage, diagnosis, and outcome prediction while data stay securely within each hospital.

  Recruiting at 2 sites Hospital Universitari Vall d'Hebron Research Institute · Leuven and 6 other locations · NCT07924371

• Web-based therapy using action observation and mirror therapy for arm weakness after stroke

  This trial tests whether a mobile telerehabilitation app delivering action observation therapy (AOT) alone or combined AOT with mirror therapy (AOT-MT) can improve upper limb function in people with subacute stroke.

  Recruiting Chang Gung Memorial Hospital · Taoyuan · NCT07921108

• Remote Ischaemic Conditioning for Fatigue After Stroke 2

  Aat least 12 weeks after stroke, adults with post-stroke fatigue will try a simple hand-arm cuff treatment at home to see if it helps reduce fatigue.

  Recruiting Phase 2 Sheffield Teaching Hospitals NHS Foundation Trust · Sheffield, South Yorkshire · NCT07914647

• Dual-task balance training plus computer-based cognitive training after stroke

  In adults who recently had a stroke, the study tests whether adding computerized cognitive exercises to balance training improves balance and other recovery outcomes.

  Recruiting Matia Foundation · San Sebastián, GUIPUZCOA · NCT07913620

How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.