Search Results - Alexander T. Pearson

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  1. 1

    Deep learning applications in visual data for benign and malignant hematologic conditions: a systematic review and visual glossary by Andrew Srisuwananukorn, Mohamed E. Salama, Alexander T. Pearson

    Published in Haematologica (2023-01-01)
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  2. 2

    Artificial intelligence and the diagnosis of oral cavity cancer and oral potentially malignant disorders from clinical photographs: a narrative review by Payam Mirfendereski, Grace Y. Li, Alexander T. Pearson, Alexander Ross Kerr

    Published in Frontiers in Oral Health (2025-03-01)
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  3. 3

    Evaluation of large language models as a diagnostic aid for complex medical cases by Alejandro Ríos-Hoyo, Naing Lin Shan, Anran Li, Alexander T. Pearson, Lajos Pusztai, Frederick M. Howard

    Published in Frontiers in Medicine (2024-06-01)
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  4. 4

    Mathematical model predicts tumor control patterns induced by fast and slow cytotoxic T lymphocyte killing mechanisms by Yixuan Wang, Daniel R Bergman, Erica Trujillo, Alexander T. Pearson, Randy F. Sweis, Trachette L. Jackson

    Published in Scientific Reports (2023-12-01)
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  5. 5

    Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers by Catherine A. Gao, Frederick M. Howard, Nikolay S. Markov, Emma C. Dyer, Siddhi Ramesh, Yuan Luo, Alexander T. Pearson

    Published in npj Digital Medicine (2023-04-01)
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  6. 6

    Human Endogenous Retrovirus Expression Is Associated with Head and Neck Cancer and Differential Survival by Allison R. Kolbe, Matthew L. Bendall, Alexander T. Pearson, Doru Paul, Douglas F. Nixon, Marcos Pérez-Losada, Keith A. Crandall

    Published in Viruses (2020-08-01)
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  7. 7

    Dysregulated FGFR3 signaling alters the immune landscape in bladder cancer and presents therapeutic possibilities in an agent-based model by Daniel R. Bergman, Yixuan Wang, Erica Trujillo, Anthony A. Fernald, Lie Li, Alexander T. Pearson, Randy F. Sweis, Trachette L. Jackson

    Published in Frontiers in Immunology (2024-03-01)
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  8. 8

    Slideflow: deep learning for digital histopathology with real-time whole-slide visualization by James M. Dolezal, Sara Kochanny, Emma Dyer, Siddhi Ramesh, Andrew Srisuwananukorn, Matteo Sacco, Frederick M. Howard, Anran Li, Prajval Mohan, Alexander T. Pearson

    Published in BMC Bioinformatics (2024-03-01)
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  9. 9

    Examining anti-inflammatory therapies in the prevention of cardiovascular events: protocol for a systematic review and network meta-analysis of randomised controlled trials by George A Wells, Kevin Emery Boczar, Sheojung Shin, Kathryn A Bezzina, Aishwarya Geejo, Alexander Liam Pearson, Saba Shahab, Christophe A Fehlmann, Sarah Visintini, Rob Beanlands

    Published in BMJ Open (2022-06-01)
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  10. 10

    Classical mathematical models for prediction of response to chemotherapy and immunotherapy. by Narmin Ghaffari Laleh, Chiara Maria Lavinia Loeffler, Julia Grajek, Kateřina Staňková, Alexander T Pearson, Hannah Sophie Muti, Christian Trautwein, Heiko Enderling, Jan Poleszczuk, Jakob Nikolas Kather

    Published in PLoS Computational Biology (2022-02-01)
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  11. 11

    Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images by Alexander Partin, Thomas Brettin, Yitan Zhu, James M. Dolezal, Sara Kochanny, Alexander T. Pearson, Maulik Shukla, Yvonne A. Evrard, James H. Doroshow, Rick L. Stevens, Rick L. Stevens

    Published in Frontiers in Medicine (2023-03-01)
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  12. 12

    Development and validation of a clinical breast cancer tool for accurate prediction of recurrence by Asim Dhungana, Augustin Vannier, Fangyuan Zhao, Jincong Q. Freeman, Poornima Saha, Megan Sullivan, Katharine Yao, Elbio M. Flores, Olufunmilayo I. Olopade, Alexander T. Pearson, Dezheng Huo, Frederick M. Howard

    Published in npj Breast Cancer (2024-06-01)
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  13. 13

    Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learningResearch in context by Divya Choudhury, James M. Dolezal, Emma Dyer, Sara Kochanny, Siddhi Ramesh, Frederick M. Howard, Jayson R. Margalus, Amelia Schroeder, Jefree Schulte, Marina C. Garassino, Jakob N. Kather, Alexander T. Pearson

    Published in EBioMedicine (2024-09-01)
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  14. 14

    Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence by Frederick M. Howard, James Dolezal, Sara Kochanny, Galina Khramtsova, Jasmine Vickery, Andrew Srisuwananukorn, Anna Woodard, Nan Chen, Rita Nanda, Charles M. Perou, Olufunmilayo I. Olopade, Dezheng Huo, Alexander T. Pearson

    Published in npj Breast Cancer (2023-04-01)
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  15. 15

    Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology by Oliver Lester Saldanha, Chiara M. L. Loeffler, Jan Moritz Niehues, Marko van Treeck, Tobias P. Seraphin, Katherine Jane Hewitt, Didem Cifci, Gregory Patrick Veldhuizen, Siddhi Ramesh, Alexander T. Pearson, Jakob Nikolas Kather

    Published in npj Precision Oncology (2023-03-01)
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  16. 16

    Virtual multiplex immunofluorescence identifies lymphocyte subsets predictive of response to neoadjuvant therapy by Anran Li, Madeleine Torcasso, Anna Woodard, Hanna Hieromnimon, Jonathan Trujillo, Long Nguyen, Margarite Matossian, James Dolezal, Rebecca Abraham, Marcus R. Clark, Galina Khramtsova, Yuanyuan Zha, Maryellen L. Giger, Alexander T. Pearson, Frederick M. Howard

    Published in Therapeutic Advances in Medical Oncology (2025-10-01)
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  17. 17

    Building digital histology models of transcriptional tumor programs with generative deep learning for pathology-based precision medicine by Hanna M. Hieromnimon, James Dolezal, Kristina Doytcheva, Frederick M. Howard, Sara Kochanny, Zhenyu Zhang, Robert L. Grossman, Kevin Tanager, Cindy Wang, Jakob Nikolas Kather, Evgeny Izumchenko, Nicole A. Cipriani, Elana J. Fertig, Alexander T. Pearson, Samantha J. Riesenfeld

    Published in Genome Medicine (2025-08-01)
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  18. 18

    Doublecortin-Like Kinase 1 (DCLK1) Is a Novel NOTCH Pathway Signaling Regulator in Head and Neck Squamous Cell Carcinoma by Esther C. Broner, Jonathan A. Trujillo, Michael Korzinkin, Tejaswini Subbannayya, Nishant Agrawal, Ivan V. Ozerov, Alex Zhavoronkov, Lisa Rooper, Nikita Kotlov, Le Shen, Alexander T. Pearson, Ari J. Rosenberg, Peter A. Savage, Vasudha Mishra, Aditi Chatterjee, Aditi Chatterjee, Aditi Chatterjee, David Sidransky, Evgeny Izumchenko

    Published in Frontiers in Oncology (2021-07-01)
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  19. 19

    AL101, a gamma-secretase inhibitor, has potent antitumor activity against adenoid cystic carcinoma with activated NOTCH signaling by Renata Ferrarotto, Vasudha Mishra, Elad Herz, Adar Yaacov, Oz Solomon, Rami Rauch, Adi Mondshine, Maria Motin, Tal Leibovich-Rivkin, Matti Davis, Joel Kaye, Christopher R. Weber, Le Shen, Alexander T. Pearson, Ari J. Rosenberg, Xiangying Chen, Alka Singh, Jon C. Aster, Nishant Agrawal, Evgeny Izumchenko

    Published in Cell Death and Disease (2022-08-01)
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  20. 20

    Acquired resistance to immunotherapy and chemoradiation in MYC amplified head and neck cancer by Thomas F. Cyberski, Alka Singh, Michael Korzinkin, Vasudha Mishra, Frank Pun, Le Shen, Claudia Wing, Xiangying Cheng, Brandon Baird, Yuxuan Miao, Moshe Elkabets, Sara Kochanny, Wenji Guo, Emma Dyer, Alexander T. Pearson, Aditya Juloori, Mark Lingen, Grayson Cole, Alex Zhavoronkov, Nishant Agrawal, Evgeny Izumchenko, Ari J. Rosenberg

    Published in npj Precision Oncology (2024-05-01)
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