Lightweight contrastive alignment of frozen histopathology and RNA-seq foundation models enables open-vocabulary molecular prediction from H&E slides, reporting 25-fold retrieval gains on a 1720-sample multi-cancer cohort with clinical validation.
arXiv preprint arXiv:2601.21560 (2026), published at ICLR 2026
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Data-Efficient Multimodal Alignment for Histopathology-based Molecular Prediction
Lightweight contrastive alignment of frozen histopathology and RNA-seq foundation models enables open-vocabulary molecular prediction from H&E slides, reporting 25-fold retrieval gains on a 1720-sample multi-cancer cohort with clinical validation.