Computer models may unlock personalized AFib treatment

NCT ID NCT05057507

Completed Knowledge-focused Sponsor: University of Edinburgh Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study enrolled 91 people with atrial fibrillation to see if computer simulations can identify the main electrical problem causing their irregular heartbeat. Participants had heart imaging, mapping, and symptom tracking before and after a standard ablation procedure. The goal is to move beyond simple duration-based categories and toward mechanism-based treatment.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could lead to more personalized treatments for atrial fibrillation by identifying the specific electrical mechanism in each patient.
What could go wrong: This is an observational study with no direct treatment being tested, so it will not immediately change care. The computational models may not translate into better outcomes in practice.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

atrial fibrillation

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

ATRIAL FIBRILLATION

Contacts and locations

Locations

Guy's and St Thomas' NHS Foundation Trust

London, United Kingdom
NHS Lothian

Edinburgh, United Kingdom

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