Virtual twins could predict hidden heart rhythm problems
NCT ID NCT06600620
First seen Nov 01, 2025 · Last updated May 16, 2026 · Updated 28 times
Summary
This study aims to detect hidden episodes of atrial fibrillation (AF) in 1,200 acutely ill patients aged 50 and older who are at risk for stroke. Participants will be monitored with devices to catch short AF episodes that standard tests might miss. The data will be used to create 'virtual twins'—computer models that help doctors predict and manage stroke risk more personally.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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Liverpool University hospital Foundation trust
Liverpool, United Kingdom
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Liverpool university foundation trust
Liverpool, United Kingdom
Conditions
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