Is the time right to start using digital pathology and artificial intelligence for the diagnosis of lymphoma? by Mohamed E Salama, William R Macon, Liron Pantanowitz

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Web-based oil immersion whole slide imaging increases efficiency and clinical team satisfaction in hematopathology tumor board by Zhongchuan Will Chen, Jessica Kohan, Sherrie L Perkins, Jerry W Hussong, Mohamed E Salama

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Validation of break-apart and fusion MYC probes using a digital fluorescence in situ hybridization capture and imaging system by Michael Liew, Leslie Rowe, Parker W Clement, Rodney R Miles, Mohamed E Salama

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Could Bordetella pertussis vaccine protect against coronavirus COVID-19? by Usama M. Alkholy, Mohamed E. Salama, Hagar Mahmoud, Ahmed Taher, 832-863-6551, Khaled M. Elsayes

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CKD Progression Prediction in a Diverse US Population: A Machine-Learning Model by Joseph Aoki, Cihan Kaya, Omar Khalid, Tarush Kothari, Mark A. Silberman, Con Skordis, Jonathan Hughes, Jerry Hussong, Mohamed E. Salama

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Artificial Intelligence Enhances Diagnostic Flow Cytometry Workflow in the Detection of Minimal Residual Disease of Chronic Lymphocytic Leukemia by Mohamed E. Salama, Gregory E. Otteson, Jon J. Camp, Jansen N. Seheult, Dragan Jevremovic, David R. Holmes, Horatiu Olteanu, Min Shi

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Classification of Monocytes, Promonocytes and Monoblasts Using Deep Neural Network Models: An Area of Unmet Need in Diagnostic Hematopathology by Mazen Osman, Zeynettin Akkus, Dragan Jevremovic, Phuong L. Nguyen, Dana Roh, Aref Al-Kali, Mrinal M. Patnaik, Ahmad Nanaa, Samia Rizk, Mohamed E. Salama

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COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation by Saranya Sankaranarayanan, Jagadheshwar Balan, Jesse R Walsh, Yanhong Wu, Sara Minnich, Amy Piazza, Collin Osborne, Gavin R Oliver, Jessica Lesko, Kathy L Bates, Kia Khezeli, Darci R Block, Margaret DiGuardo, Justin Kreuter, John C O’Horo, John Kalantari, Eric W Klee, Mohamed E Salama, Benjamin Kipp, William G Morice, Garrett Jenkinson

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Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decadeResearch in context by M. Alvaro Berbís, David S. McClintock, Andrey Bychkov, Jeroen Van der Laak, Liron Pantanowitz, Jochen K. Lennerz, Jerome Y. Cheng, Brett Delahunt, Lars Egevad, Catarina Eloy, Alton B. Farris, III, Filippo Fraggetta, Raimundo García del Moral, Douglas J. Hartman, Markus D. Herrmann, Eva Hollemans, Kenneth A. Iczkowski, Aly Karsan, Mark Kriegsmann, Mohamed E. Salama, John H. Sinard, J. Mark Tuthill, Bethany Williams, César Casado-Sánchez, Víctor Sánchez-Turrión, Antonio Luna, José Aneiros-Fernández, Jeanne Shen

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