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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Lei Han, Kexin Liu, Zhikai Yang, Zhouheng Ye
2 citations
Minerva Cardiology and Angiology
Machine Learning in Bioinformatics
0.47
article

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

Lei Han, Kexin Liu, Zhikai Yang, Zhouheng Ye
article en
2 citations

Abstract

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.

Minerva Cardiology and AngiologyVol. 73(4)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Zero hunger
Openalex Percentile: Top 35%
Machine Learning in Bioinformatics
0.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Machine learning-based identification and validation of aging-related genes in cardiomyocytes from patients with atrial fibrillation — Lei Han, Kexin Liu, et al. · Minerva Cardiology and Angiology (2024) | TGRS Research Map | TGRS