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Analysis file of drug-induced lung injury = expert opinion for analysis of big data /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Analysis file of drug-induced lung injury/ by Akihiko Gemma.
其他題名:	expert opinion for analysis of big data /
作者:	Gemma, Akihiko.
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xii, 116 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Genetics Research. -
電子資源:	https://doi.org/10.1007/978-981-97-3446-7
ISBN:	9789819734467

Analysis file of drug-induced lung injury = expert opinion for analysis of big data /
Gemma, Akihiko.

Analysis file of drug-induced lung injuryexpert opinion for analysis of big data /[electronic resource] :by Akihiko Gemma. - Singapore :Springer Nature Singapore :2024. - xii, 116 p. :ill. (some col.), digital ;24 cm.

Part I Understanding Drug-Induced Lung Injuries -- 1 Understanding Drug-Induced Lung Injuries -- Part 2 Actual Practice in Drug-Induced Lung Injuries of Each Drug -- 2 EGFR inhibitors (gefitinib, erlotinib, afatinib, osimertinib) -- 3 Anti-EGFR antibodies (cetuximab, panitumumab, necitumumab) -- 4 mTOR inhibitors (temsirolimus, everolimus) -- 5 Proteasome inhibitor (bortezomib) -- 6 Immune checkpoint inhibitors (nivolumab, pembrolizumab, atezolizumab, durvalumab) -- 7 Neoangiogenesis inhibitors (sunitinib, sorafenib, bevacizumab) -- 8 Other molecular targeted drugs (crizotinib, alectinib, etc.) -- 9 Antibody-drug conjugates (ADC) (trastuzumab emtansine, trastuzumab deruxtecan) -- 10 Anti-cancer drugs (TS-1, taxanes, CPT-11, platinum-containing drugs, etc.)

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.

ISBN: 9789819734467

Standard No.: 10.1007/978-981-97-3446-7doiSubjects--Topical Terms:

1430011
Genetics Research.

LC Class. No.: RC756

Dewey Class. No.: 616.24

Analysis file of drug-induced lung injury = expert opinion for analysis of big data /
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