Analysis File of Drug-Induced Lung Injury: Expert Opinion for Analysis of Big Data, 2024th Edition (EPUB)

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By Akihiko Gemma This book describes the pathologic conditions of drug-induced lung injuries, monitoring strategies, and guides on how to interpret the evidence. It also dives into particular drugs that caused the disorder, such as EGFR inhibitors, anti-EGFR antibodies, mTOR inhibitors, proteasome inhibitors, immune checkpoint inhibitors, neoangiogenesis inhibitors, and other molecular targeted drugs. It outlines the analysis and interpretation of the post-marketing survey on surveillance of each drug for inducing pulmonary lesions presenting diffuse haziness. The data and analysis from this survey are valuable since a guideline is yet to be established due to limited clinical evidence and cases. As…

Description

By Akihiko Gemma
This book describes the pathologic conditions of drug-induced lung injuries, monitoring strategies, and guides on how to interpret the evidence. It also dives into particular drugs that caused the disorder, such as EGFR inhibitors, anti-EGFR antibodies, mTOR inhibitors, proteasome inhibitors, immune checkpoint inhibitors, neoangiogenesis inhibitors, and other molecular targeted drugs. It outlines the analysis and interpretation of the post-marketing survey on surveillance of each drug for inducing pulmonary lesions presenting diffuse haziness. The data and analysis from this survey are valuable since a guideline is yet to be established due to limited clinical evidence and cases. As new drugs are developed, establishing treatment and event management is crucial. Thus, Drug-induced Pulmonary Disorder in Medical Oncology – Expert Opinion to Decipher Big Data summarizes the accumulated information to provide a foundation for further research advancement. The bookoffers a refreshing alternative to current approaches to medical oncology and respiratory diseases professionals and will also attract medical affairs members in global pharmaceutical companies.

Product Details

  • Publisher ‏ : ‎ Springer; 2024th edition (August 2, 2024)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 128 pages
  • ISBN-10 ‏ : ‎ 9819734452
  • ISBN-13 ‏ : ‎ 978-9819734450

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