Teamwork makes the dream work? Ensemble learning in computational pathology

In this issue of Cancer Cell, Luo et al. report an ensemble approach that integrates five pretrained pathology foundation models into a slide-level representation to exploit their complementary information, yielding improvements in tumor subtyping, biomarker, and therapy-response prediction. This shows the potential of ensemble and multimodal approaches in computational pathology.