AI and Drug Development
eBook - ePub

AI and Drug Development

Opportunities, Privacy and Challenges

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

AI and Drug Development

Opportunities, Privacy and Challenges

About this book

This important book shines a light on the potential benefits of artificial intelligence (AI) to support advances in drug discovery and development, while also highlighting critical issues around patient confidentiality and ethical practice.

In an era of rapid technological advancement, the book offers a comprehensive assessment of both the challenges and opportunities that AI offers the pharmaceutical sector, explaining how AI and machine learning can support the drug development research process. Illustrated with international case studies that demonstrate how these technologies have already been used to help develop new therapeutic possibilities, it also offers a discussion of ethical concerns around privacy and data protection. By thus taking into account both the technological and ethical issues of AI, the book seeks to present a fair and impartial perspective on the role of AI in further global healthcare.

The book will interest to students and researchers across the Health Science, but particularly in Pharmacy, Pharmacology and related fields, as well as those concerned with AI itself. It will also appeal to practicing pharmacists and pharmacologists working in drug research and development.

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Yes, you can access AI and Drug Development by Shaik Aminabee,Atmakuri Lakshmana Rao in PDF and/or ePUB format, as well as other popular books in Medicine & Biotechnology in Medicine. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. About the Authors
  7. 1 Introduction to AI in Drug Discovery
  8. 2 AI Technologies and Tools in Drug Discovery
  9. 3 Data Collection and Management for AI in Drug Discovery
  10. 4 AI-Driven Drug Target Identification
  11. 5 AI in Drug Design and Optimization
  12. 6 Preclinical and Clinical Development Using AI
  13. 7 Regulatory Considerations and Ethical Implications
  14. 8 Case Studies of AI in Drug Discovery
  15. 9 Future Trends in AI-Powered Drug Discovery
  16. 10 Practical Applications and Strategies for Implementation
  17. Index