Eric Burks

This study identifies four molecular archetypes of lung adenocarcinoma premalignant lesions using bulk RNA and exome sequencing, linking proliferation-associated features to aggressive tumor outcomes.

This study demonstrates that spatial transcriptomics can be performed on discarded breast biopsy tissue to generate high-quality data for tumor microenvironment analysis.

This study identifies hsa-miR-149-5p as a regulator of immune evasion in progressive bronchial premalignant lesions through integrative analysis of RNA and miRNA sequencing data.

This study identifies the Kyn-AHR-TF axis as a prothrombotic pathway in SARS-CoV-2 infection, showing increased kynurenine and AHR activation in mice and humans.

This paper develops a graph attention-based framework that fuses pathology images and gene expression data to predict cancer survival, showing improved performance over existing methods.

This paper introduces GRAPE-Net, a graph-based model that stratifies bronchial premalignant lesions using histopathology images, showing improved classification accuracy for lung cancer subtypes.

This study uses human stem cell-derived alveolar type 2 cells to model SARS-CoV-2 infection, revealing rapid inflammatory responses and drug efficacy against the virus.