Yan Li

The paper identifies key genes and pathways linking respiratory infections to heart failure exacerbation using bioinformatics and machine learning.

The paper identifies disease-specific metabolic biomarkers for coronary heart disease, diabetes mellitus, and their co-occurrence using metabolomics profiling and statistical analysis.

The paper identifies aging-related genes in heart failure using WGCNA, CellAge, and machine learning algorithms, and validates potential therapeutic drugs.

This study identifies four immune-related genes for diagnosing ischaemic heart failure using bioinformatics and machine learning models, showing high diagnostic accuracy.