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    Research area Period Title Progress status
    Regulatory science, Pharmaceutical Industry Policy 2021.04 - 2021.10 An analysis of pharmaceutical industry business ecosystem and policy suggestions for new drug development Completed
    RWD/RWE 2021.03 - 2022.12 Clinical characteristics associated with adherence and persistence in patients with type 2 diabetes mellitus treated with dulaglutide Completed
    Machine learning 2021.02 - 2022.03 Development of “KGC curation algorithm" (personalized recommendation of health functional foods)" Completed
    Machine learning, Natural Language Processing 2021.02 - 2021.12 Extration of Comprehensive Drug Safety Information from Adverse Drug Event Narratives in Korean Adverse Event Reporting System (KAERS) Completed
    Machine learning, Natural Language Processing 2021.02 - 2021.12 Development of natural language processing algorithms for extracting key clinical information from text data of drug adverse event reporting Completed
    Pharmacometrics 2021.01 - 2023.12 A population PK model of Vactosertib Completed
    RWD/RWE 2021.01 - 2022.12 Factors affecting the changes in antihypertensive medications in patients with hypertension Completed
    Regulatory science, Pharmaceutical Industry Policy 2020.06 - 2020.10 Policy suggestions to improve patient access to new drugs in Korea Completed
    RWD/RWE 2020.03 - 2024.03 ARWD based retrospective analysis to evaluate efficacy and safety of SGLT2 inhibitors as add-on treatment in patients with type 2 diabetes mellitus on Metformin, Sulfonylurea and/or DPP-4 Inhibitors Completed
    RWD/RWE 2020.03 - 2023.03 A CDM-based clinical trial to evaluate efficacy and safety of SGLT2 inhibitors as add-on treatment in patients with type 2 diabetes mellitus on Metformin, Sulfonylurea, and/or DPP-4 Inhibitors Completed
    RWD/RWE 2020.03 - 2021.12 Effectiveness and safety of sodium-glucose cotransporter-2 inhibitors (SGLT2i) added to mono, dual or triple treatment in patients with type 2 diabetes mellitus (T2DM) Completed
    Pharmacometrics 2020.01 - 2022.12 A population PK–PD model of YH4808, a novel P-CAB, and intragastric pH that incorporated negative feedback by increased intragastric pH onto the systemic exposure to YH4808 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