AI RESEARCH
MINT: Molecularly Informed Training with Spatial Transcriptomics Supervision for Pathology Foundation Models
arXiv CS.CV
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ArXi:2603.07895v1 Announce Type: new Pathology foundation models on large-scale whole-slide images, yet they do not explicitly capture the underlying molecular state of the tissue. Spatial transcriptomics technologies bridge this gap by measuring gene expression in situ, offering a natural cross-modal supervisory signal. We propose MINT (Molecularly Informed