Explainable spatial AI analyzes tumor-immune interactions to predict immunotherapy outcomes and identify new targets
The effectiveness of immune checkpoint inhibitors (ICIs) heavily depends on the complex spatial interactions of cells within the tumor microenvironment (TME). However, existing predictive biomarkers generally lack spatial resolution and interpretability, making it difficult to guide clinical decisions or reveal actiona...