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Pulmonomics: omics approaches for understanding pulmonary diseases

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Pulmonomics: omics approaches for understanding pulmonary diseasesby Sudipto Saha, Sreyashi Majumdar, Parthasarathi Bhattacharyya.
作者:	Saha, Sudipto.
其他作者:	Majumdar, Sreyashi.
出版者:	Singapore :Springer Nature Singapore :2023.
面頁冊數:	xiii, 405 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	LungsDiseases
電子資源:	https://doi.org/10.1007/978-981-99-3505-5
ISBN:	9789819935055$q(electronic bk.)

Pulmonomics: omics approaches for understanding pulmonary diseases
Saha, Sudipto.

Pulmonomics: omics approaches for understanding pulmonary diseases[electronic resource] /by Sudipto Saha, Sreyashi Majumdar, Parthasarathi Bhattacharyya. - Singapore :Springer Nature Singapore :2023. - xiii, 405 p. :ill., digital ;24 cm.

Chapter 1_Introduction to Pulmonary Diseases and OMICS approaches -- Chapter 2_Obstructive Pulmonary Diseases -- Chapter 3_COPD (Chronic Obstructive Pulmonar Diseases) -- Chapter 4_ Asthma -- Chapter 5_Other obstructive airway diseases like Bronchiectases, Focal airway narrowing -- Chapter 6_Restrictive Pulmonary Diseases (Common qualities and features with examples) -- Chapter 7_Interstitial Pulmonary fibrosis (IPF) -- Chapter 8_Sarcoidosis -- Chapter 9_ Other restrictive airway diseases like pneumonitis, pleural thickening -- Chapter 10_Vascular Diseases -- Chapter 11_Pulmonary hypertension -- Chapter 12_Pulmonary edema -- Chapter 13_ Other vascular diseases like Pulmonary Edema, Cor Pulmonale -- Chapter 14_Infectious Diseases -- Chapter 15_Tuberculosis -- Chapter 16_Cystic fibrosis -- Chapter 17_Pneumonia, COVID-19 and others -- Chapter 18_Neoplastic Diseases/Lung Cancer.

This book comprehensively reviews various omics approaches like genomics, proteomics, transcriptomics, and metabolomics for understanding pulmonary disease at molecular and systems levels. The initial chapters present the pathogenesis of major pulmonary diseases, namely, obstructive diseases, restrictive diseases, vascular diseases, infectious diseases, and neoplastic carcinoma. The book chapters provide current information about the role of the microbiome and applications of medical imaging, bioinformatics tools, and databases for diagnosis and designing treatment strategies against complex lung diseases. Further, the book discusses omics technologies to identify biomarkers for the early diagnosis and prognosis of pulmonary diseases. Finally, the book elucidates the multi-omics approaches and data integration using mathematical modeling for insights into the disease etiology towards improving the prognostics and predictive accuracy of disease phenotypes.

ISBN: 9789819935055$q(electronic bk.)

Standard No.: 10.1007/978-981-99-3505-5doiSubjects--Topical Terms:

483759
Lungs
--Diseases

LC Class. No.: RC756 / .S243 2023

Dewey Class. No.: 616.24

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505 0 $a Chapter 1_Introduction to Pulmonary Diseases and OMICS approaches -- Chapter 2_Obstructive Pulmonary Diseases -- Chapter 3_COPD (Chronic Obstructive Pulmonar Diseases) -- Chapter 4_ Asthma -- Chapter 5_Other obstructive airway diseases like Bronchiectases, Focal airway narrowing -- Chapter 6_Restrictive Pulmonary Diseases (Common qualities and features with examples) -- Chapter 7_Interstitial Pulmonary fibrosis (IPF) -- Chapter 8_Sarcoidosis -- Chapter 9_ Other restrictive airway diseases like pneumonitis, pleural thickening -- Chapter 10_Vascular Diseases -- Chapter 11_Pulmonary hypertension -- Chapter 12_Pulmonary edema -- Chapter 13_ Other vascular diseases like Pulmonary Edema, Cor Pulmonale -- Chapter 14_Infectious Diseases -- Chapter 15_Tuberculosis -- Chapter 16_Cystic fibrosis -- Chapter 17_Pneumonia, COVID-19 and others -- Chapter 18_Neoplastic Diseases/Lung Cancer.
520 $a This book comprehensively reviews various omics approaches like genomics, proteomics, transcriptomics, and metabolomics for understanding pulmonary disease at molecular and systems levels. The initial chapters present the pathogenesis of major pulmonary diseases, namely, obstructive diseases, restrictive diseases, vascular diseases, infectious diseases, and neoplastic carcinoma. The book chapters provide current information about the role of the microbiome and applications of medical imaging, bioinformatics tools, and databases for diagnosis and designing treatment strategies against complex lung diseases. Further, the book discusses omics technologies to identify biomarkers for the early diagnosis and prognosis of pulmonary diseases. Finally, the book elucidates the multi-omics approaches and data integration using mathematical modeling for insights into the disease etiology towards improving the prognostics and predictive accuracy of disease phenotypes.
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