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| http://dx.doi.org/10.1093/brain/awu267 | DOI Listing |
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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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Reply to: Evolutionary rescue effect can disappear under non-neutral mutations-a reply to Zhang et al. (2022).
Nat Commun
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Department of Mathematics, Bar-Ilan University, Ramat-Gan, Israel.
Investigating the influence of germline variants in chronic lymphocytic leukemia on cancer vulnerability.
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Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA.
Chronic lymphocytic leukemia (CLL) patients have an increased risk of secondary cancers, along with predisposition to CLL in their relatives. We have previously identified germline ATM variants as associated with CLL risk; here, we present their impact on predisposition to secondary neoplasms in CLL patients and their relatives. Patients enrolled in our tissue bank who had germline ATM status available were mailed a questionnaire between April 2022 and May 2023.
View Article and Find Full Text PDFReply to the Comments on "The Use of tDCS in a Patient with MECP2 Gene Mutation Presenting with Recurrent Catatonia: A Case Report".
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