Machine learning-based identification and validation of aging-related genes in cardiomyocytes from patients with atrial fibrillation.
Journal:
Minerva cardiology and angiology
Published Date:
Oct 8, 2024
Abstract
BACKGROUND: Aging is a key risk factor for atrial fibrillation (AF), a prevalent cardiac disorder among the elderly. This study aims to elucidate the genetic underpinnings of AF in the context of aging.