bioRxiv / medRxiv
open access
Deep learning cardiac motion analysis reveals the dynamic pathophysiology and genetic architecture of heart failure with preserved ejection fraction
BackgroundHeart failure with preserved ejection fraction (HFpEF) accounts for approximately half of the more than 64 million heart failure cases globally, yet its pathophysiology is incompletely understood, its molecular determinants are poorly defined, and disease-specific therapies remain limited.
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