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EMORY UNIVERSITY

Machine Learning Based Analysis of Longitudinal Changes in the Congenital Heart Disease Electrocardiogram

Machine Learning Based Analysis of Longitudinal Changes in the Congenital Heart Disease Electrocardiogram is a funding opportunity from EMORY UNIVERSITY, up to 117375, closing July 31, 2027.

Funder
EMORY UNIVERSITY
Funding
117375
Deadline
Jul 31, 2027
(365d left)

Overview

PROJECT SUMMARY Delayed intervention for congenital heart defect residua and sequelae can lead to heart failure and end-organ damage. Identifying the optimal time for intervention to avoid both adverse outcomes and to minimize the number of interventions over a lifetime for any given heart defect relies on routine…

Machine Learning Based Analysis of Longitudinal Changes in the Congenital Heart Disease Electrocardiogram | Go Fund It Now