Author

Dongmyung Shin

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#artificial intelligence Preprint Sep 2026

MoSPR: Histology-to-Gene Expression Prediction with Morpho-Spatial Macrostates and Low-Rank Molecular Programs

MoSPR (Morpho-Spatial Program Regression), a linear framework that couples an adjacency-informed histology representation with a low-rank molecular basis, provides an interpretable link between spatially coherent macrostate regions and their associated molecular programs.

Dongmyung Shin, Geong-Ran Lee, Yesung Cho et al. · 0 citations

Preprint Aug 2026

Spatial proteomics guided by H&E-based AI reveals recurrence-risk niches in triple-negative breast cancer

An outcome informed spatial pathology framework in TNBC that integrates AI generated recurrence risk heatmaps with mass spectrometry based spatial proteomics is developed and defines a new role for outcome trained AI models as spatially explicit experimental guides that connect prognostic morphology with localized mole...

Yesung Cho, Ji Hwan Park, Chanil Kim et al. · 0 citations