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

Stroke Clinical Trial

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

Clinical Trial 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.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT06035198
Study type Observational [Patient Registry]
Source CHA University
Contact Seyoung Shin, MD
Phone +821094113333
Email seyoung0706@chamc.co.kr
Status Recruiting
Phase
Start date October 5, 2023
Completion date December 31, 2026
View Details
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