Yifan Dai

The paper develops GARD, a pipeline using genomic data and large language models to identify drug repurposing candidates for head and neck cancer, finding both known and emerging therapeutic options.

This study identifies LINC00673, a long noncoding RNA from a Sox9-associated super-enhancer, as critical for pancreatic regeneration and PDAC initiation by regulating cell-autonomous and non-cell-autonomous processes.

This paper introduces HiFIT, a framework for high-dimensional biomarker identification that improves disease prediction and feature importance detection using machine learning.

This paper introduces BGOB, a deep learning framework for longitudinal microbiome interpolation, improving analysis of microbial community trajectories and revealing disease-related associations.

This study shows that acidic tumor environments enhance pancreatic cancer stem cell properties and metastasis in mice.

The paper develops a nanofiber-hydrogel composite incorporating mRNA lipid nanoparticles to create a local immunostimulatory niche for cancer immunotherapy, showing enhanced immune responses with a single dose.

This paper introduces LP-Micro, a machine learning framework for analyzing longitudinal microbiome data to identify time-varying biomarkers predictive of disease outcomes.

The paper uses single-cell RNA sequencing to identify EGR1 as a driver of tumor invasion in epithelial ovarian cancer, highlighting its role in EMT and immune infiltration.