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Automated machine learning of echocardiographic strain enables identification of early myocardial changes in pre-symptomatic <i>TTR</i> carriers

2026-03-05

Abstract excerpt

<h4>Objectives</h4> To identify unique echocardiographic signatures associated with TTR + carrier status preceding onset of cardiac amyloidosis. <h4>Background</h4> Carrier status for the most common pathogenic TTR variant in the United States, Val142Ile (V142I), found in 4% of African Americans (AA) and 1% of Hispanic/Latino (H/L) individuals, confers a 40-60% lifetime risk of developing variant transthyreti...

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Literature Corpus work
0b986dc6-9ac1-5858-b69a-27f5d0fcfb78
DOI
10.64898/2026.03.04.26347545
Open publication

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Automated machine learning of echocardiographic strain enables identification of early myocardial changes in pre-symptomatic <i>TTR</i> carriersDOI 10.64898/2026.03.04.26347545
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