Machine learning-based identification and validation of aging-related genes in cardiomyocytes from patients with atrial fibrillation.

Journal: Minerva cardiology and angiology
Published Date:

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.

Authors

  • Kexin Liu
    Department of Oncological Surgery, Harbin Medical University Cancer Hospital, Harbin, 150000, Heilongjiang Province, China.
  • Zhikai Yang
  • Zhouheng Ye
    Department of Special Operations Medicine, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, China.
  • Lei Han
    Jiangsu Province Center for Disease Prevention and Control, Institute of Occupational Disease Prevention, Nanjing, Jiangsu, China.