Artificial Intelligence in Precision Drug Design, Volume 2
eBook - ePub

Artificial Intelligence in Precision Drug Design, Volume 2

Advanced Applications

  1. 475 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence in Precision Drug Design, Volume 2

Advanced Applications

About this book

Artificial Intelligence in Precision Drug Design, Volume 2: Advanced Applications explores the transformative role of AI in modern drug discovery and development, presenting cutting-edge research and methodologies that integrate machine learning, network pharmacology, and computational modeling to accelerate therapeutic innovation. It covers a wide range of applications, including AI-driven drug repurposing, combination therapies, cancer immunotherapy, neuroscience, vaccine development, and molecular dynamics, but also delves into emerging technologies such as quantum computing, large language models, and graph neural networks. Designed for academics, this volume provides researchers, clinicians, and graduate students with a resource on the latest AI methodologies in precision medicine.Users will find this to be a great resource that supports evidence-based innovation, fosters interdisciplinary collaboration, and equips them with insights to advance personalized healthcare solutions. - Presents state-of-the-art research on AI-driven drug repurposing, combination therapies, vaccine development, and molecular modeling, offering a comprehensive view of current innovations - Covers cutting-edge AI applications across drug discovery - Combines machine learning, network pharmacology, quantum computing, and large language models to address complex biomedical challenges with precision and scalability - Equips scholars, clinicians, and graduate students with practical insights and frameworks to accelerate personalized medicine and foster interdisciplinary collaboration

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Table of contents

  1. Title of Book
  2. Chapter 1. AI-driven drug repurposing and combination therapies: Revolutionizing treatment strategies and overcoming complex challenges
  3. Chapter 2. AI-driven drug repurposing in precision medicine: Transforming existing therapies into targeted solutions
  4. Chapter 3. AI-driven network pharmacology for drug repurposing
  5. Chapter 4. AI-driven network-based drug repurposing: A roadmap for precision medicine in Kyrgyzstan's and low and middle income countries' resource-limited healthcare systems
  6. Chapter 5. AI in cancer drug development and immunotherapy
  7. Chapter 6. AI-driven innovations in neuroscience: Rewiring precision drug design for neurological disorders
  8. Chapter 7. Harnessing artificial intelligence for accelerated vaccine development: Innovations, applications, and case studies
  9. Chapter 8. AI-driven advancements in vaccine development: From discovery to global deployment
  10. Chapter 9. The role of artificial intelligence in overcoming challenges in vaccine development
  11. Chapter 10. Toward precision Alzheimer's treatment: AdGenius–CogMol–VAE for smart drug discovery
  12. Chapter 11. Patient stratification and precision medicine approaches—key to identifying patient subgroups for personalized treatment
  13. Chapter 12. Large language models for automated drug target discovery and literature mining
  14. Chapter 13. Predictive modeling of drug suitability using electronic health records and machine learning
  15. Chapter 14. AI-powered medical imaging for precision drug design: Applications in therapeutic targeting and optimization
  16. Chapter 15. Revolutionizing drug design: the convergence of AI and quantum computing - A systematic review
  17. Chapter 16. AI for antiviral and antibacterial drug discovery to combat AMR surge
  18. Chapter 17. AI for monitoring clinical outcomes and adverse events
  19. Chapter 18. Revolutionizing the power of AI's role in precision medicine: Transforming biologics, cell and gene therapy
  20. Chapter 19. Artificial Intelligence in fragment-based and scaffold-hopping approaches for drug discovery
  21. Chapter 20. AI-driven drug–drug interaction modeling with graph neural networks: A new era in safer drug development
  22. Chapter 21. Explainable AI for structure-based drug design: Concepts and case studies
  23. Index

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Yes, you can access Artificial Intelligence in Precision Drug Design, Volume 2 by Khalid Raza in PDF and/or ePUB format, as well as other popular books in Medicine & Pharmaceutical, Biotechnology & Healthcare Industry. We have over 1.5 million books available in our catalogue for you to explore.