ArticlemedRxiv : the preprint server for health sciences2026
Automated machine learning of echocardiographic strain enables identification of early myocardial changes in pre-symptomatic TTR carriers.
Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objectives: To identify unique echocardiographic signatures associated with Background: Carrier status for the most common pathogenic Methods: V142I+ carriers (cases) without prior diagnoses of amyloidosis or HF were identified among Bio Results: 49 Conclusions: Machine learning applied to routinely acquired echocardiographic data can identify subtle myocardial abnormalities associated with
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