Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies.

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Bibliographic Details
Title: Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies.
Authors: Lipkova J; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.; Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.; Dana-Farber Cancer Institute, Boston, MA, USA., Chen TY; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.; Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.; Dana-Farber Cancer Institute, Boston, MA, USA., Lu MY; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.; Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.; Dana-Farber Cancer Institute, Boston, MA, USA.; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA., Chen RJ; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.; Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.; Dana-Farber Cancer Institute, Boston, MA, USA.; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Shady M; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.; Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.; Dana-Farber Cancer Institute, Boston, MA, USA.; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Williams M; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.; Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA.; Dana-Farber Cancer Institute, Boston, MA, USA.; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Wang J; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.; Department of Computer Science, University of California San Diego (UCSD), La Jolla, CA, USA., Noor Z; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA., Mitchell RN; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.; Harvard-MIT Health Sciences and Technology (HST), Cambridge, MA, USA., Turan M; Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey., Coskun G; Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey., Yilmaz F; Faculty of Medicine, Department of Pathology, Ege University, Izmir, Turkey., Demir D; Faculty of Medicine, Department of Pathology, Ege University, Izmir, Turkey., Nart D; Faculty of Medicine, Department of Pathology, Ege University, Izmir, Turkey., Basak K; Department of Pathology, University of Health Sciences, Ankara, Turkey., Turhan N; Department of Pathology, University of Health Sciences, Ankara, Turkey., Ozkara S; Department of Pathology, University of Health Sciences, Ankara, Turkey., Banz Y; Institute of Pathology, University of Bern, Bern, Switzerland., Odening KE; Department of Cardiology, Inselspital, Bern University Hospital, Bern, Switzerland.; Institute of Physiology, University of Bern, Bern, Switzerland., Mahmood F; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. faisalmahmood@bwh.harvard.edu.; Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA. faisalmahmood@bwh.harvard.edu.; Dana-Farber Cancer Institute, Boston, MA, USA. faisalmahmood@bwh.harvard.edu.; Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. faisalmahmood@bwh.harvard.edu.; Harvard Data Science Initiative, Harvard University, Cambridge, MA, USA. faisalmahmood@bwh.harvard.edu.
Source: Nature medicine [Nat Med] 2022 Mar; Vol. 28 (3), pp. 575-582. Date of Electronic Publication: 2022 Mar 21.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Nature Publishing Company Country of Publication: United States NLM ID: 9502015 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-170X (Electronic) Linking ISSN: 10788956 NLM ISO Abbreviation: Nat Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1546-170X
DOI:10.1038/s41591-022-01709-2