Analysis File of Drug-Induced Lung Injury
Gemma, Akihiko
Produktnummer:
18fb85ef834d874890a7fc1f4eb9816f10
Autor: | Gemma, Akihiko |
---|---|
Themengebiete: | Anti-tumor agents Big data Drug-induced Drug induced interstitial lung disease Lung disorder Pathologic conditions Risk factor |
Veröffentlichungsdatum: | 02.08.2024 |
EAN: | 9789819734450 |
Sprache: | Englisch |
Seitenzahl: | 116 |
Produktart: | Gebunden |
Verlag: | Springer Singapore |
Untertitel: | Expert Opinion for Analysis of Big Data |
Produktinformationen "Analysis File of Drug-Induced Lung Injury"
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 book offers a refreshing alternative to current approaches to medical oncology and respiratory diseases professionals and will also attract medical affairs members in global pharmaceutical companies.

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