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Abstract Liver metastasis is a lethal manifestation of diverse malignancies, but its molecular heterogeneity is not readily captured by routine histopathology. Proteomic profiling has identified functional states of metastatic lesions, although their histomorphological and tumor microenvironmental correlates remain incompletely understood. Here, we developed AI-HistoPS, a computational pathology framework for inferring proteomics-informed states from H&E-stained whole slide images.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
