Eye scans could spot deadly heart disease before symptoms appear
NCT ID NCT07690436
First seen Jul 08, 2026 · Last updated Jul 09, 2026 · Updated 1 time
Summary
This study explores whether specialized eye imaging can identify people with a rare heart condition called transthyretin amyloid cardiomyopathy (ATTR-CM). Researchers will use machine learning to analyze eye scans from 500 adults—some with ATTR-CM and others with heart failure but not ATTR-CM. The goal is to see if the eyes can serve as a window to the heart, offering a non-invasive screening method.
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 a simple, non-invasive eye test to screen for a serious heart condition, potentially catching it earlier.
- What could go wrong
- This is an early pilot study. The machine learning model may not be accurate enough, and eye imaging might not reliably distinguish ATTR-CM from other heart conditions.
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.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Research Site
Palo Alto, California, 94305, United States
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Research Site
Chicago, Illinois, 60611, United States
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Research Site
Boston, Massachusetts, 02114, United States
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Research Site
Portland, Oregon, 97239-3098, United States
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Research Site
Germantown, Tennessee, 38138, United States
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Research Site
Essen, 45147, Germany
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Research Site
Würzburg, 97078, Germany
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Research Site
Guimarães, 4835-044, Portugal
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Research Site
L'Hospitalet de Llobregat, 08907, Spain
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Research Site
Palma de Mallorca, 07198, Spain
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