Sung Hak Lee

This study uses spatial transcriptomics to analyze gastric cancer tumor microenvironments, identifying subtypes and functional interactions between cell types that correlate with clinical outcomes.

MSI-SEER uses deep Gaussian processes to predict microsatellite instability from histology images, achieving high accuracy in MSI prediction and ICI response prediction.

This paper uses deep learning to analyze histopathology images of colorectal cancer to predict progression-free survival by quantifying tumor infiltrating lymphocytes.