Ying Ma

This paper develops a nanozyme-based platform for multiplexed miRNA analysis in serum samples, achieving 90.5% accuracy in prostate cancer stratification using machine learning.

This paper develops a CRISPR/Cas12a-based system for sensitive and multiplexed detection of EV-derived microRNAs using DNAzyme and machine learning for cancer classification.

The paper constructs a cattle cell-type-specific regulatory variant atlas by integrating bulk and single-cell RNA-seq data, identifying eQTL and linking them to GWAS loci for breeding insights.