Explainable machine learning-guided integrated multiomics analysis reveals macrophage-driven immune suppression in breast cancer

Pan-cancer AI atlas reveals diversity and spatial organization of tertiary lymphoid structures in tumors

Researchers built a pan-cancer atlas of tertiary lymphoid structures (TLSs) in human tumors, developing an AI-based framework to detect and

AI-guided discovery identifies GPNMB as promising CAR T cell target for multiple cancers

Researchers developed an AI-driven framework for discovering CAR T cell therapy targets by integrating single-cell RNA sequencing data from

Programming the immunological properties of mRNA vaccines for cancer

Study reveals how immunotherapy can drive immune evasion in pancreatic cancer through Treg cell activity and MHC-I suppression

This study investigates mechanisms driving immunotherapy resistance in pancreatic ductal adenocarcinoma (PDA). Using murine models, the rese

New plasma proteomics model improves thrombosis risk prediction in cancer patients and identifies IL-17-driven endothelial activation as therapeutic target

This article presents research by Karagkouni and colleagues who developed a new cancer-associated venous thromboembolism (VTE) prediction mo

Study reveals how immunotherapy can drive immune evasion in pancreatic cancer through Treg cell activity and MHC-I suppression

This study investigates mechanisms driving immunotherapy resistance in pancreatic ductal adenocarcinoma (PDA). Using murine models, the rese