Search Results - Kun‐Hsing Yu

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  1. 1
    Omics Profiling in Precision Oncology

    Omics Profiling in Precision Oncology by Kun‐Hsing Yu, M Snyder

    Published 2016
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  2. 2
    Suicide Rates Among Adolescents and Young Adults in the United States, 2000-2017

    Suicide Rates Among Adolescents and Young Adults in the United States, 2000-2017 by Oren Miron, Kun‐Hsing Yu, Rachel Wilf–Miron, Isaac S. Kohane

    Published 2019
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  3. 3
    The genetic predisposition to bronchopulmonary dysplasia

    The genetic predisposition to bronchopulmonary dysplasia by Kun‐Hsing Yu, Jingjing Li, M Snyder, Gary M. Shaw, Hugh OʼBrodovich

    Published 2016
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  4. 4
    Evaluation of the association of bariatric surgery with subsequent depression

    Evaluation of the association of bariatric surgery with subsequent depression by William Yuan, Kun‐Hsing Yu, Nathan Palmer, Fatima Cody Stanford, Isaac S. Kohane

    Published 2019
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  5. 5
    Large‐scale real‐world data analyses of cancer risks among patients with rheumatoid arthritis

    Large‐scale real‐world data analyses of cancer risks among patients with rheumatoid arthritis by Feicheng Wang, Nathan Palmer, Kathe Fox, Katherine P. Liao, Kun‐Hsing Yu, S. C. Kou

    Published 2023
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  6. 6
    Does One Size Fit All? Building a Framework for Medical Professionalism

    Does One Size Fit All? Building a Framework for Medical Professionalism by Ming‐Jung Ho, Kun‐Hsing Yu, David A. Hirsh, Tien‐Shang Huang, Pan‐Chyr Yang

    Published 2011
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  7. 7
    Predicting Ovarian Cancer Patients’ Clinical Response to Platinum-Based Chemotherapy by Their Tumor Proteomic Signatures

    Predicting Ovarian Cancer Patients’ Clinical Response to Platinum-Based Chemotherapy by Their Tumor Proteomic Signatures by Kun‐Hsing Yu, Douglas A. Levine, Hui Zhang, Daniel W. Chan, Zhen Zhang, M Snyder

    Published 2016
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  8. 8
    Association of Omics Features with Histopathology Patterns in Lung Adenocarcinoma

    Association of Omics Features with Histopathology Patterns in Lung Adenocarcinoma by Kun‐Hsing Yu, Gerald J. Berry, Daniel L. Rubin, Christopher Ré, Russ B. Altman, M Snyder

    Published 2017
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  9. 9
    Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images: Algorithm Development and Validation

    Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images: Algorithm Development and Validation by Kun‐Hsing Yu, Michael T. Lee, Ming-Hsuan Yen, S. C. Kou, Bruce R. Rosen, Jung-Hsien Chiang, Isaac S. Kohane

    Published 2020
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  10. 10
    Deep Transfer Learning and Radiomics Feature Prediction of Survival of Patients with High-Grade Gliomas

    Deep Transfer Learning and Radiomics Feature Prediction of Survival of Patients with High-Grade Gliomas by Wenjuan Han, Lei Qin, Camden Bay, Xin Chen, Kun‐Hsing Yu, Nityanand Miskin, Angie Li, Xiaoyin Xu, Geoffrey S. Young

    Published 2019
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  11. 11
    Deciphering serous ovarian carcinoma histopathology and platinum response by convolutional neural networks

    Deciphering serous ovarian carcinoma histopathology and platinum response by convolutional neural networks by Kun‐Hsing Yu, Vincent J. Hu, Feiran Wang, Ursula A. Matulonis, George L. Mutter, Jeffrey A. Golden, Isaac S. Kohane

    Published 2020
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  12. 12
    Exome Sequencing of Neonatal Blood Spots and the Identification of Genes Implicated in Bronchopulmonary Dysplasia

    Exome Sequencing of Neonatal Blood Spots and the Identification of Genes Implicated in Bronchopulmonary Dysplasia by Jingjing Li, Kun‐Hsing Yu, John Oehlert, Laura Jeliffe‐Pawlowski, Jeffrey B. Gould, David K. Stevenson, M Snyder, Gary M. Shaw, Hugh OʼBrodovich

    Published 2015
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  13. 13
    Machine learning for cryosection pathology predicts the 2021 WHO classification of glioma

    Machine learning for cryosection pathology predicts the 2021 WHO classification of glioma by MacLean P. Nasrallah, Junhan Zhao, Cheng Che Tsai, David M. Meredith, Eliana Marostica, Keith L. Ligon, Jeffrey A. Golden, Kun‐Hsing Yu

    Published 2023
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  14. 14
    Epidemiology and risk factors for the development of cutaneous toxicities in patients treated with immune-checkpoint inhibitors: A United States population-level analysis

    Epidemiology and risk factors for the development of cutaneous toxicities in patients treated with immune-checkpoint inhibitors: A United States population-level analysis by Shannon Wongvibulsin, Vartan Pahalyants, Mark Kalinich, William S. Murphy, Kun‐Hsing Yu, Feicheng Wang, Steven T. Chen, Kerry L. Reynolds, Shawn G. Kwatra, Yevgeniy R. Semenov

    Published 2021
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  15. 15
    Prediction of severe immune-related adverse events requiring hospital admission in patients on immune checkpoint inhibitors: study of a population level insurance claims database from the USA

    Prediction of severe immune-related adverse events requiring hospital admission in patients on immune checkpoint inhibitors: study of a population level insurance claims database f... by Mark Kalinich, William S. Murphy, Shannon Wongvibulsin, Vartan Pahalyants, Kun‐Hsing Yu, Chenyue Lu, Feicheng Wang, Leyre Zubiri, Vivek Naranbhai, Alexander Gusev, Shawn G. Kwatra, Kerry L. Reynolds, Yevgeniy R. Semenov

    Published 2021
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  16. 16
    Transcriptome Profiling of Patient-Specific Human iPSC-Cardiomyocytes Predicts Individual Drug Safety and Efficacy Responses In Vitro

    Transcriptome Profiling of Patient-Specific Human iPSC-Cardiomyocytes Predicts Individual Drug Safety and Efficacy Responses In Vitro by Elena Matsa, Paul W. Burridge, Kun-Hsing Yu, John H. Ahrens, Vittavat Termglinchan, Haodi Wu, Chun Liu, Praveen Shukla, Nazish Sayed, Jared M. Churko, Ning‐Yi Shao, Nicole Woo, A. Chao, Joseph Gold, Ioannis Karakikes, M Snyder, Joseph C. Wu

    Published 2016
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  17. 17
    Prevalence of BPH and lower urinary tract symptoms in West Africans

    Prevalence of BPH and lower urinary tract symptoms in West Africans by Anand P. Chokkalingam, Edward D. Yeboah, Angelo M. De Marzo, George J. Netto, Kun‐Hsing Yu, Richard Biritwum, Yao Tettey, Andrew A. Adjei, Sana Jadallah, Y. Li, L.W. Chu, David Chia, Shelley Niwa, Alan W. Partin, Ian M. Thompson, Claus G. Roehrborn, Robert N. Hoover, Ann W. Hsing

    Published 2011
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  18. 18
    An Informatics-assisted Label-free Approach for Personalized Tissue Membrane Proteomics: Case Study on Colorectal Cancer

    An Informatics-assisted Label-free Approach for Personalized Tissue Membrane Proteomics: Case Study on Colorectal Cancer by Chia‐Li Han, Jinn-Shiun Chen, Err–Cheng Chan, Chien-Peng Wu, Kun‐Hsing Yu, Kuei-Tien Chen, Chih‐Chiang Tsou, Chia-Feng Tsai, Chih-Wei Chien, Yung-Bin Kuo, Pei-Yi Lin, Jau‐Song Yu, Chuen Hsueh, Min-Chi Chen, Chung-Chuan Chan, Yu‐Sun Chang, Yu‐Ju Chen

    Published 2011
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  19. 19
    Histopathology images predict multi-omics aberrations and prognoses in colorectal cancer patients

    Histopathology images predict multi-omics aberrations and prognoses in colorectal cancer patients by Pei-Chen Tsai, Tsung-Hua Lee, Kun-Chi Kuo, Fang-Yi Su, Michael T. Lee, Eliana Marostica, Tomotaka Ugai, Melissa Zhao, Mai Chan Lau, Juha P. Väyrynen, Marios Giannakis, Yasutoshi Takashima, Seyed Mousavi Kahaki, Kana Wu, Mingyang Song, Jeffrey A. Meyerhardt, Andrew T. Chan, Jung-Hsien Chiang, Jonathan A. Nowak, Shuji Ogino, Kun‐Hsing Yu

    Published 2023
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  20. 20
    Ten quick tips for deep learning in biology

    Ten quick tips for deep learning in biology by Benjamin D. Lee, Anthony Gitter, Casey S. Greene, Sebastian Raschka, Finlay Maguire, Alexander J. Titus, Michael D. Kessler, Alexandra Lee, Marc G. Chevrette, Paul A. Stewart, Thiago Britto‐Borges, Evan M. Cofer, Kun‐Hsing Yu, Juan J. Carmona, Elana J. Fertig, Alexandr A. Kalinin, Bethany Signal, Benjamin J. Lengerich, Timothy J. Triche, Simina M. Boca

    Published 2022
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