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    Research area Period Title Progress status
    Machine learning, Natural Language Processing 2023.03 - Improving Generalization Performance of Natural Language Processing Models to Extract Drug Safety Information from Multi-institutional Clinical Notes Ongoing
    RWD/RWE, Machine learning 2022.12 - Improved prediction of acute coronary syndrome by replacing binary categorical variables with propensity scores in patients with type 2 diabetes mellitus Ongoing
    Clinical Pharmacology 2022.12 - An analysis of clinical trial designs for COVID-19 therapeutics development in Korea and suggestions for improvement Ongoing
    RWD/RWE 2022.11 - 2024.03 A real-world data-based retrospective observational study to evaluate effectiveness and safety of steroid pretreatment prior to remission induction chemotherapy in patients with pediatric acute lymphoblastic leukemia Completed
    RWD/RWE, Machine learning 2022.08 - Drug repurposing framework based on crossover clinical trials emulated by using electronic health records and Bayesian Additive Regression Tree (BART) Ongoing
    RWD/RWE 2022.07 - 2024.02 Trajectory of clinical features in Korean COVID-19 patients: an observational study based on real-world data Completed
    Clinical Pharmacology, Regulatory Science 2022.07 - 2024.02 Country Contribution of Investigators to Pivotal Clinical Trials and Their Primary Publications of New Drugs Approved by the US Food and Drug Administration Completed
    Machine learning 2022.07 - 2023.12 Comparison of artificial intelligence and pharmacometric models for predicting plasma concentrations of antiepileptic drugs based on therapeutic drug monitoring records Completed
    Machine learning 2022.05 - 2023.04 Joint research with Microsoft Research Asia (MSRA): Revisiting and reformulating machine learning-based drug repositioning using clinical trials database and eligibility criteria information Completed
    RWD/RWE 2022.04 - Development of a registry and generation of real-world evidence using electronic medical record-based real-world data for pediatric acute lymphoblastic leukemia Ongoing
    RWD/RWE 2021.06 - 2021.08 Real-World Data based Patient Journey of Cancer Patients Completed
    RWD/RWE 2021.05 - 2024.03 Dulaglutide in the real world: Common Data Model-based retrospective analysis on adherence and persistence of dulaglutide and its patient characteristics Completed
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    CCADD

    Center for Convergence Approaches in Drug Development, Graduate School of Convergence Science and Technology, Seoul National University

    Room C-208, 145 Gwanggyo-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do, 16229, SOUTH KOREA (Gwanggyo)

    Room 406, Building 17, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, SOUTH KOREA (Yeon-gun)

    Tel: +82-31-888-9189 (Gwanggyo); +82-2-3668-7381 (Yeon-gun)

    Fax: +82-31-888-9575

    Email: ccadd.snu@gmail.com