Apply to trial NCT05371405

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Recruiting

Machine Learning in Atrial Fibrillation

Atrial fibrillation is a serious public health issue that affects over 5 million Americans (Miyazaka, Circulation 2006) in whom it may cause skipped beats, dizziness, stroke and even death. Therapy for AF is currently suboptimal, in part because AF represents several disease states of which few have been delineated or used to successfully guide management. This study seeks to clarify this delineation of AF types using machine learning (ML).

How this works

  1. Answer a few questions

    About 5 to 10 minutes. Skip-friendly where possible.

  2. We forward your profile to the study team

    We send your contact details and a short fit summary to the official trial contacts, with you copied.

  3. The team reaches out to schedule screening

    Usually within a few business days, via the contact you give.

We save your progress under this email and copy you when we send your application to the study team.

By clicking Start, you agree to our terms of service, including sharing your contact details and fit summary with official trial contacts if you submit.