Hyun‐Sung Lee

This study identifies smoking-associated natural killer cell subsets in NSCLC that correlate with survival and response to neoadjuvant chemoimmunotherapy, suggesting their use in therapeutic stratification.

This study introduces a deep learning model called spacer to analyze spatially resolved transcriptomics data, revealing novel insights into cellular recruitment mechanisms in tumors and heart tissue during myocarditis.

The paper shows MAGE-A4 promotes NSCLC by recruiting IgA+ plasma cells, reducing tumor burden and enhancing T cell activity.

This study identifies immune suppressive barriers in preinvasive lung cancer progression using single-cell analyses, revealing key cellular and spatial changes that could inform therapeutic strategies.