Yu-Chuan Jack Li

Yu-Chuan Jack Li () is the founder of Biomedical Informatics education and research institute.

Li was the founding dean of the College of Medical Science and Technology at Taipei Medical University (TMU) in 2011. The college composed of the original Department of Biomedical Informatics, the Department of Medical Laboratory Science and Biotechnology, the Department of Cancer Biology and Drug Discovery, the Department of Medical Neuroscience and the Department of Translational Science. Li also founded the International Center for Health Information Technology at TMU in 2015 to foster global awareness and international collaboration in healthcare. He has been the principal investigator of many national projects related to translational Biomedical Informatics, Patient Safety, and Artificial Intelligence.

Li was elected as a Fellow of the Australian College of Health Informatics in 2009, the American College of Medical Informatics in 2010, and the International Academy of Health Science Informatics in 2017. Provided by Wikipedia
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  1. 1
    388 Preliminary results from KEYNOTE-A36, a study of GB1275, a first-in-class oral CD11b modulator, alone and with pembrolizumab or chemotherapy in specified advanced solid tumors
    by Jack Li
    Published 2020-11-01
    Article
  2. 2
    So Few COVID-19 Cases in Taiwan: Has Population Immune Health Played a Role?
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  3. 3
    Obesity and Mortality Among Patients Diagnosed With COVID-19: A Systematic Review and Meta-Analysis
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  4. 4
    COVID-19 preventive measures showing an unintended decline in infectious diseases in Taiwan
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  5. 5
    The Prevalence of Dry Eye Syndrome’s and the Likelihood to Develop Sjögren’s Syndrome in Taiwan: A Population-Based Study
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  6. 6
    A Transcriptomic Analysis of Head and Neck Squamous Cell Carcinomas for Prognostic Indications
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  7. 7
    Computer-Aided Bacillus Detection in Whole-Slide Pathological Images Using a Deep Convolutional Neural Network
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  8. 8
    Use of Mobile Phone App Interventions to Promote Weight Loss: Meta-Analysis
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  9. 9
    Deep into Laboratory: An Artificial Intelligence Approach to Recommend Laboratory Tests
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  10. 10
    Clinical Characteristics and Neonatal Outcomes of Pregnant Patients With COVID-19: A Systematic Review
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  11. 11
    Observational Data Exploration Via Online Tool For For Drugs and Cancer Risk
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  12. 12
    Atrial Fibrillation and Coronary Artery Disease as Risk Factors of Retinal Artery Occlusion: A Nationwide Population-Based Study
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  13. 13
    Non-alcoholic Steatohepatitis Pathogenesis, Diagnosis, and Treatment
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  14. 14
    Statin Use and the Risk of Hepatocellular Carcinoma: A Meta-Analysis of Observational Studies
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  15. 15
    Artificial Intelligence in Ophthalmology: A Meta-Analysis of Deep Learning Models for Retinal Vessels Segmentation
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  16. 16
    Impact of DSMES app interventions on medication adherence in type 2 diabetes mellitus: systematic review and meta-analysis
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  17. 17
    Sequential coupling of dry and wet COVID-19 screening to reduce the number of quarantined individuals
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  18. 18
    A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19
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  19. 19
    Metformin Use Is Associated with Decreased Mortality in COVID-19 Patients with Diabetes: Evidence from Retrospective Studies and Biological Mechanism
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  20. 20
    Increased Risk of Dementia in Patients with Antidepressants: A Meta-Analysis of Observational Studies
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