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

NCT06035198 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1192

Last updated 2026-03-18

No results posted yet for this study

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

OTHER

Stroke

No intervention

Sponsors & Collaborators

  • Seyoung Shin

    lead OTHER

Principal Investigators

  • Seyoung Shin, MD · CHA University

Eligibility

Min Age
20 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-10-05
Primary Completion
2025-12-31
Completion
2025-12-31

Countries

  • South Korea

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06035198 on ClinicalTrials.gov