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Multimodal Machine Learning Reveals the Genomic and Proteomic Architecture of Heart Failure with Preserved Ejection Fraction

2026-02-09

Abstract excerpt

Heart failure with preserved ejection fraction (HFpEF) affects over 30 million people and lacks disease-modifying therapies. Although genomic-led drug discovery increases success by more than 2.6-fold, HFpEF genomic discovery remains constrained by imprecise phenotyping in biobanks, with only two loci identified to date. Biobanks lack HFpEF diagnostic codes and echocardiograms, yet HFpEF diagnosis exists along a c...

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Literature Corpus work
ecf6a7db-a6e2-5fde-b4dd-d3bbd34b81ff
DOI
10.64898/2026.02.07.26345811
Open publication

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Multimodal Machine Learning Reveals the Genomic and Proteomic Architecture of Heart Failure with Preserved Ejection FractionDOI 10.64898/2026.02.07.26345811
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