Biological Insights of Multi-Omics Technologies in Human Diseases

Biological Insights of Multi-Omics Technologies in Human Diseases
Author :
Publisher : Elsevier
Total Pages : 420
Release :
ISBN-10 : 9780443239700
ISBN-13 : 0443239703
Rating : 4/5 (703 Downloads)

Book Synopsis Biological Insights of Multi-Omics Technologies in Human Diseases by : Aarif Ali

Download or read book Biological Insights of Multi-Omics Technologies in Human Diseases written by Aarif Ali and published by Elsevier. This book was released on 2024-06-28 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Biological Insights of Multi-Omics Technologies in Human Diseases ́ provides detailed information about the basics of multi-omic technologies including ethics, historical perspective, science, drug discovery, and development and metabolism. With a strong focus on the practical application of omics approaches in cancer, cardiovascular, neurology, respiratory, viral, gastroenterology, autoimmune diseases, PCOS and tuberculosis, this book also includes special topics related to COVID-19 and Machine learning approaches. In 13 chapters this book provides comprehensive coverage of the challenges and opportunities facing the therapeutic implications of multi-omics from academic, regulatory, pharmaceutical, socio-ethical, and economic perspectives. The chapters are designed in a well-defined chronology such that readers will intuitively understand the central idea. This book is an ideal resource for health professionals, scientists and researchers, nutritionists, health practitioners, students, and all those who wish to broaden their knowledge in the allied field. • Explains the in-depth role of multi-omics on drug discovery/metabolism, diseases, and highlights progress in both the research and clinical areas of computation, as well as relevant implementation experience and challenges. • Describes the practice of multi-omic technologies in the treatment of several diseases. • Includes practical application and machine learning approaches of multi-omics.


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