関連する実験動画

Updated: Sep 9, 2025

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

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ラムシルマブの医薬品監視調査:FDAの有害事象報告システムに基づく安全性分析

Meijuan Song1, Jian Xie, Liyuan Yang

  • 1Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Lung Cancer Institute, Jinan, Shandong, China.

Journal of cancer research and therapeutics
|September 4, 2025
PubMed
まとめ

この研究では,FAERSデータを用いてラムシルマブの有害事象 (AEs) を分析した. 多くの有害事象は薬剤のラベルに合致しますが,ピオジェニック・グランウロマのような新しい安全性信号が特定され,臨床的警戒が強化されました.

キーワード:
薬の副作用FDAの薬物有害事象報告システムデータマイニングラムシルマブ

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