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1. |
Record Nr. |
UNINA9910878983003321 |
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Autore |
Gemma Akihiko |
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Titolo |
Analysis File of Drug-Induced Lung Injury : Expert Opinion for Analysis of Big Data / / by Akihiko Gemma |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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9789819734467 |
9789819734450 |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (122 pages) |
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Disciplina |
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Soggetti |
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Respiratory organs - Diseases |
Medical genetics |
Diseases - Causes and theories of causation |
Oncology |
Pharmacology |
Genetics - Research |
Pneumology |
Clinical Genetics |
Pathogenesis |
Genetics Research |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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.). |
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Sommario/riassunto |
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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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2. |
Record Nr. |
UNINA9910404091303321 |
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Autore |
Konda Gokuldoss Prashanth |
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Titolo |
Selective Laser Melting: Materials and Applications |
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Pubbl/distr/stampa |
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MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
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ISBN |
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Descrizione fisica |
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1 online resource (98 p.) |
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Soggetti |
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History of engineering and technology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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Additive manufacturing (AM) is one of the manufacturing processes that warrants the attention of industrialists, researchers, and scientists. AM has the ability to fabricate materials to produce parts with complex shapes without any theoretical restrictions combined with added functionalities. Selective laser melting (SLM), also known as laser-based |
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powder bed processing (LPBF), is one of the main AM process that can be used to fabricate wide variety of materials that are Al-, Ti-, Fe-, Ni-, Co-, W-, Ag-, and Au-based, etc. However, several challenges need to be addressed systematically, such as development of new materials that suit the SLM process conditions so the process capabilities can be fully used to produce new properties in these materials. Other issues in the field are the lack of microstructure-property correlations, premature failure, etc. Accordingly, this Special Issue (book) focuses mainly on the microstructure-correlation in three different alloys: AlSi10Mg, Ti6Al4V, and 304L stainless steel, where six articles are presented. Hence, this Special Issue outlines microstructure-property correlations in the SLM processed materials and provides a value addition to the field of AM. |
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