Developement of Stroke Prognosis Predictive Precision Medicine Based on a Digital Twin

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.

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Key information

Conditions

Stroke Brain Diseases Cardiovascular Diseases Central Nervous System Diseases Cerebrovascular Disorders Nervous System Diseases Vascular Diseases

Age range

20 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Bundang CHA Medical Center

Gyeonggi-do, 13497, South Korea

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

stroke

Other

No intervention

Primary outcomes

Modified Barthel Index (MBI)

Time frame: minimum 6 months to maximum 6 years

A scale to measure disability or dependence in activities of daily living (ADL) of stroke survivors (range 0-100)

Secondary outcomes

Mini Mental Status Examination (MMSE)

Time frame: minimum 6 months to maximum 6 years

Mini-Mental State Examination (MMSE) is a 30-question assessment of cognitive function that evaluates attention and orientation, memory, registration, recall, calculation, language and ability to draw a complex polygon (range 0-30)
Functional Ambulatory Category (FAC)

Time frame: minimum 6 months to maximum 6 years

The Functional Ambulation Categories (FAC) is a 6-point functional walking test that evaluates ambulation ability, determining how much human support the patient requires when walking, regardless of whether or not they use a personal assistive device. (range 0-5)

Sponsors and collaborators

Lead sponsor

Seyoung Shin

Other

Registry information

Official study title

Developement of Prognosis Predictive Precision Medicine Based on a Digital Twin Reflecting the Motor Patterns in Stroke Patients

Important dates

Study start: 2023
Primary completion: 2025
Study completion: 2025
First posted: Sep 13, 2023
Registry last updated: Mar 18, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed