Cancer BiologybioRxivPreprint
Multiple instance learning with spatial transcriptomics for interpretable patient-level predictions: application in glioblastoma
Simon Grouard, Christian Esposito, Jean El Khoury…·Lucas Fidon
This paper introduces SpaMIL, a spatial transcriptomics-based multiple instance learning framework for patient-level outcome prediction in glioblastoma, achieving high prognostic accuracy.
DOI 10.1101/2025.10.13.682206