
SPACER AI Decodes Spatial Rules for Immune Cell Recruitment in Tumors and Hearts
A new interpretable AI framework called SPACER decodes gene-level rules governing how immune cells are recruited to specific tissue locations. Tested across 37 datasets, it outperforms existing methods by 4-21 times. Key findings link tumor mucins to T-cell exclusion and checkpoint inhibitor resistance, identify local antigen presentation as the primary driver of T-cell engagement, and reveal CD4+ T cells as the main effectors in severe checkpoint inhibitor-induced myocarditis.













