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

Recruiting now

Conditions studied: Stroke

In brief

To collect large-scale, high-quality clinical data, daily activity and movement patterns, and genomic information from stroke patients spanning the subacute to chronic stages. This study aims to establish the foundation for personalized precision medicine in stroke care and to develop a visual and digital transformation of patient medical information in the era of digital healthcare.

Key facts

Study ID
NCT07482579
Run by
Seyoung Shin
People needed
70
Starts
2025-11-01
Expected to finish
2026-12-31
Last updated by the study team
2026-03-25

Who can join

Age: 20 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.