"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.
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Techn.
Dateigröße
ISBN-13
978-0-443-23970-0 (9780443239700)
Schweitzer Klassifikation
1. Multiomics approaches in human diseases2. Crosstalk of multiomics approaches with medicinal plants of therapeutic importance3. Multiomics approaches in Cancer4. Multiomics in Cardiovascular diseases (CVD)5. Multiomics for understanding Neurodegenerative disorders6. Multiomics in Gastrointestinal disorders7. Multiomics in Human viral infections8. Multiomics in autoimmune diseases9. Multiomics in respiratory disorders10. Multiomics in Polycystic Ovarian Syndrome (PCOS)11. Multi-Omics Technologies Applied to Tuberculosis Drug Discovery12. Multiomics in COVID-1913. Machine learning approaches for multi-omics data analysissignaling dysregulation, potential proteomic techniques, therapeutic strategies, and future perspectives.14. Organ on a chip15. Biomarkers of Respiratory Diseases