Young Tae Kim

This study uses spatial transcriptomics to compare immune and metabolic differences between treatment-responsive and resistant non-small cell lung cancer tumors after neoadjuvant chemoimmunotherapy.

STopover analyzes spatial transcriptomics data to identify cell-cell interactions and colocalization patterns in the tumor microenvironment.

This study uses spatial transcriptomics to analyze cancer-associated fibroblasts in lung squamous cell carcinoma, linking their spatial organization to tumor progression and patient outcomes.

CellDART adapts neural networks to infer cell type spatial distribution from single-cell and spatial transcriptomic data, showing effectiveness in human and mouse tissues.

This study develops a 3D culture model of human alveolar type 2 cells to study SARS-CoV-2 infection and reveals rapid viral replication and immune response.