Spatial Proteomics for Precision Oncology

Explore how spatial single-cell proteomics, transcriptomics and machine learning reveal clinically relevant tumour ecosystems. Studies of ovarian and kidney cancers identify resistant cell populations, spatial patterns and prognostic ecotypes, connecting tissue measurements with experimental drug responses. The presentation examines how these approaches may improve patient stratification and identify therapeutic vulnerabilities.