Li Xu

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 study develops a transfer learning model to predict volatile-odorant receptor interactions in Diptera, revealing species-specific olfactory preferences and informing pest management strategies.

The paper constructs a super-resolution single-cell spatial atlas of tomato de novo regeneration using multimodal spatial transcriptomics.

The paper identifies a phosphorylation pathway initiated by NMDARs that regulates synaptic growth and learning through a cascade involving CaMKII, ARHGEF2, Rho-kinase, and SHANK3.