Multiplexed tumor profiling with generative AI accelerates histopathology workflows and improves clinical predictions
Maria Anna Rapsomaniki,
Pushpak Pati,
Sofia Karkampouna
et al.
Abstract:Understanding the spatial heterogeneity of tumors and its links to disease initiation and progression is a cornerstone of cancer biology. Presently, histopathology workflows heavily rely on hematoxylin & eosin (H&E) and serial immunohistochemistry (IHC) staining, a cumbersome, tissue-exhaustive process that results in non-aligned tissue images. We propose the VirtualMultiplexer, a generative AI toolkit that effectively synthesizes multiplexed IHC images for several antibody markers only from an input H… Show more
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