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論文・技術情報

• • Off-the-Shelf Large Language Models for Causality Assessment of Individual Case Safety Reports: A Proof-of-Concept with COVID-19 Vaccines.
    タグ:

    • VAERS
    • FAERS
    2025/3/13
  • Analysis and mining of Dupilumab adverse events based on FAERS database.
    タグ:

    • FAERS
    2025/3/13
  • Mining and analysis of amphotericin B adverse reaction signals: a real-world study based on the FAERS database.
    タグ:

    • FAERS
    2025/3/12
  • Post-marketing safety of elacestrant in breast cancer: a pharmacovigilance investigation using the FDA adverse event reporting system.
    タグ:

    • FAERS
    2025/3/12
  • Post-market safety profile of cefiderocol: a real-world pharmacovigilance exploratory analysis based on U.S. FDA adverse event reporting system (FAERS).
    タグ:

    • FAERS
    2025/3/12
  • Drug-associated gingival disorders: a retrospective pharmacovigilance assessment using disproportionality analysis.
    タグ:

    • FAERS
    • VAERS
    2025/3/12
  • The real-world safety profile of sertraline: Pharmacovigilance analysis of the FAERS database.
    タグ:

    • FAERS
    2025/3/12
  • Comprehensive evaluation of flumazenil adverse reactions: Insights from FAERS data and signal detection algorithms.
    タグ:

    • FAERS
    2025/3/12
  • Changes in the blood cyclosporine level after switching from voriconazole to isavuconazole in a patient with aplastic anemia: insights from physiologically based pharmacokinetic model simulation and the Adverse Event Reporting System database study.
    タグ:

    • FAERS
    2025/3/11
  • Post-marketing safety surveillance of vortioxetine hydrobromide: a pharmacovigilance study leveraging FAERS database.
    タグ:

    • FAERS
    2025/3/11

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