Biological Insights of Multi-Omics Technologies in Human Diseases

Herausgeber: Ali, Aarif; Arafah, Azher; Ahmad, Sheikh Bilal; U Rehman, Muneeb

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 418
• Erscheinungstermin: 24. Mai 2024
• Englisch
• Gewicht: 850g
• ISBN-13: 9780443239717
• ISBN-10: 0443239711
• Artikelnr.: 69769283

Inhaltsangabe

1. Multiomics approaches in human diseases 2. Crosstalk of multiomics
approaches with medicinal plants of therapeutic importance 3. Multiomics
approaches in Cancer 4. Multiomics in Cardiovascular diseases (CVD) 5.
Multiomics for understanding Neurodegenerative disorders 6. Multiomics in
Gastrointestinal disorders 7. Multiomics in Human viral infections 8.
Multiomics in autoimmune diseases 9. Multiomics in respiratory disorders
10. Multiomics in Polycystic Ovarian Syndrome (PCOS) 11. Multi-Omics
Technologies Applied to Tuberculosis Drug Discovery 12. Multiomics in
COVID-19 13. Machine learning approaches for multi-omics data
analysissignaling dysregulation, potential proteomic techniques,
therapeutic strategies, and future perspectives. 14. Organ on a chip 15.
Biomarkers of Respiratory Diseases