Machine learning-based identification and validation of aging-related genes in cardiomyocytes from patients with atrial fibrillation
The discovery of these four genes could improve diagnostic accuracy for AF in the aged population. Additionally, our drug prediction model indicates that bisphenol A and cisplatin, among other substances, could be promising in treating age-associated AF, offering potential pathways for clinical intervention.
Authors
- Lei Han (ORCID: https://orcid.org/0000-0001-6487-7520)
- Kexin Liu
- Zhikai Yang
- Zhouheng Ye
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Publication Details
- Journal
- Minerva Cardiology and Angiology
- Published
- 2024-10-08
- DOI
- https://doi.org/10.23736/s2724-5683.24.06492-5
- Citations
- 2
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 0.47