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Reply to comment by Compagnoni on "First finding of continental deep subduction in the Sesia Zone of Western Alps and implications for subduction dynamics".
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State Key Laboratory of Lithospheric and Environmental Co-evolution, University of Science and Technology of China, China.
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Deep learning algorithm on H&E whole slide images to characterize alterations frequency and spatial distribution in breast cancer.
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Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.
The tumor suppressor is frequently mutated in hormone receptor-negative, HER2-positive breast cancer (BC), contributing to tumor aggressiveness. Traditional ancillary methods like immunohistochemistry (IHC) to assess functionality face pre- and post-analytical challenges. This proof-of-concept study employed a deep learning (DL) algorithm to predict mutational status from H&E-stained whole slide images (WSIs) of BC tissue.
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Earth and Planets Laboratory, Carnegie Institution for Science, Washington, DC 20015, USA.
We clarify misunderstandings of Walker et al. (Walker 2024 21, 20240367 (doi:10.1098/rsif.
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