CD7 Positive Diffuse Large B-Cell Lymphoma Arising in a Background of Follicular Lymphoma: A Case Report and Review of the Literature by Elham Vali Betts, Hooman H. Rashidi

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Common statistical concepts in the supervised Machine Learning arena by Hooman H. Rashidi, Hooman H. Rashidi, Samer Albahra, Samer Albahra, Scott Robertson, Scott Robertson, Nam K. Tran, Bo Hu, Bo Hu

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A novel and fully automated platform for synthetic tabular data generation and validation by Hooman H. Rashidi, Samer Albahra, Brian P. Rubin, Bo Hu

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PAX5-Negative Classical Hodgkin Lymphoma: A Case Report of a Rare Entity and Review of the Literature by Elham Vali Betts, Denis M. Dwyre, Huan-You Wang, Hooman H. Rashidi

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Educational Case: Gastric High-Grade B-Cell Lymphoma With and Gene Rearrangement (Double-Hit Lymphoma) by Elham Vali Betts MD, Hooman H. Rashidi MD, Kristin A. Olson MD

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Translocation (6;15)(q12;q15): A Novel Mutation in a Patient with Therapy-Related Myelodysplastic Syndrome by Saba F. Ali, Rebecca J. Sonu, Denis M. Dwyre, Brian A. Jonas, Hooman H. Rashidi

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Optimal Molecular Methods in Detecting p190BCR-ABL Fusion Variants in Hematologic Malignancies: A Case Report and Review of the Literature by Rebecca J. Sonu, Brian A. Jonas, Denis M. Dwyre, Jeffrey P. Gregg, Hooman H. Rashidi

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Novel application of automated machine learning with MALDI-TOF-MS for rapid high-throughput screening of COVID-19: a proof of concept by Nam K. Tran, Taylor Howard, Ryan Walsh, John Pepper, Julia Loegering, Brett Phinney, Michelle R. Salemi, Hooman H. Rashidi

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Comparative performance of two automated machine learning platforms for COVID-19 detection by MALDI-TOF-MS. by Hooman H Rashidi, John Pepper, Taylor Howard, Karina Klein, Larissa May, Samer Albahra, Brett Phinney, Michelle R Salemi, Nam K Tran

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Prediction of tuberculosis using an automated machine learning platform for models trained on synthetic data by Hooman H. Rashidi, Imran H. Khan, Luke T. Dang, Samer Albahra, Ujjwal Ratan, Nihir Chadderwala, Wilson To, Prathima Srinivas, Jeffery Wajda, Nam K. Tran

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Individual and community factors contributing to anemia among women in rural Baja California, Mexico. by Molly A Moor, Miguel A Fraga, Richard S Garfein, Hooman H Rashidi, John Alcaraz, Donna Kritz-Silverstein, John P Elder, Stephanie K Brodine

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Prediction of tuberculosis using an automated machine learning platform for models trained on synthetic data by Hooman H Rashidi, Imran H Khan, Luke T Dang, Samer Albahra, Ujjwal Ratan, Nihir Chadderwala, Wilson To, Prathima Srinivas, Jeffery Wajda, Nam K Tran

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Limited number of cases may yield generalizable models, a proof of concept in deep learning for colon histology by Lorne Holland, Dongguang Wei, Kristin A Olson, Anupam Mitra, John Paul Graff, Andrew D Jones, Blythe Durbin-Johnson, Ananya Datta Mitra, Hooman H Rashidi

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Effects of image quantity and image source variation on machine learning histology differential diagnosis models by Elham Vali-Betts, Kevin J Krause, Alanna Dubrovsky, Kristin Olson, John Paul Graff, Anupam Mitra, Ananya Datta-Mitra, Kenneth Beck, Aristotelis Tsirigos, Cynthia Loomis, Antonio Galvao Neto, Esther Adler, Hooman H Rashidi

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Artificial Intelligence and Machine Learning in Pathology: The Present Landscape of Supervised Methods by Hooman H. Rashidi MD, FASCP, Nam K. Tran PhD, HCLD (ABB), FACB, Elham Vali Betts MD, FASCP, Lydia P. Howell MD, FASCP, FCAP, Ralph Green MD, PhD, FASCP, FCAP, FRCPath

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Immune response dynamics in COVID-19 patients to SARS-CoV-2 and other human coronaviruses. by Resmi Ravindran, Cindy McReynolds, Jun Yang, Bruce D Hammock, Aamer Ikram, Amna Ali, Adnan Bashir, Tanzeel Zohra, W L William Chang, Dennis J Hartigan-O'Connor, Hooman H Rashidi, Imran H Khan

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Comparing machine learning screening approaches using clinical data and cytokine profiles for COVID-19 in resource-limited and resource-abundant settings by Hooman H. Rashidi, Aamer Ikram, Luke T. Dang, Adnan Bashir, Tanzeel Zohra, Amna Ali, Hamza Tanvir, Mohammad Mudassar, Resmi Ravindran, Nasim Akhtar, Rana I. Sikandar, Mohammed Umer, Naeem Akhter, Rafi Butt, Brandon D. Fennell, Imran H. Khan

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