Ming Jiang

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.

This paper develops a nanocomposite that enhances immune checkpoint therapy by inducing ferroptosis and cuproptosis in cancer cells and modulating the tumor microenvironment.