AI driven spatial multimodal approaches to understand the tumor microenvironment in gastric cancer

Dr. Hwang's research focuses on enhancing the efficacy of immune checkpoint inhibitors (ICIs) in gastric cancer (GC) through AI-driven spatial analysis of the tumor microenvironment (TME). Dr. Hwang proposes to identify biomarkers predictive of ICI response and discover actionable targets for improving treatment outcomes. Using AI algorithms to analyze multimodal spatial omics data, Dr. Hwang's team will investigate the spatial heterogeneity and phenotypes of tumor, stroma, immune, and other types of cells in the TME. This research could pave the way for personalized ICI therapy in GC and potentially improve the clinical benefit for patients.