Artificial intelligence in Pharmaceutical Sciences
  1. 168 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub
Book details
Table of contents
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About This Book

This cutting-edge reference book discusses the intervention of artificial intelligence in the fields of drug development, modified drug delivery systems, pharmaceutical technology, and medical devices development. This comprehensive book includes an overview of artificial intelligence in pharmaceutical sciences and applications in the drug discovery and development process. It discusses the role of machine learning in the automated detection and sorting of pharmaceutical formulations. It covers nanosafety and the role of artificial intelligence in predicting potential adverse biological effects.

FEATURES



  • Includes lucid, step-by-step instructions to apply artificial intelligence and machine learning in pharmaceutical sciences


  • Explores the application of artificial intelligence in nanosafety and prediction of potential hazards


  • Covers application of artificial intelligence in drug discovery and drug development


  • Reviews the role of artificial intelligence in assessment of pharmaceutical formulations


  • Provides artificial intelligence solutions for experts in the pharmaceutical and medical devices industries

This book is meant for academicians, students, and industry experts in pharmaceutical sciences, medicine, and pharmacology.

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Yes, you can access Artificial intelligence in Pharmaceutical Sciences by Mullaicharam Bhupathyraaj, K. Reeta Vijaya Rani, Musthafa Mohamed Essa, Mullaicharam Bhupathyraaj, K. Reeta Vijaya Rani, Musthafa Mohamed Essa in PDF and/or ePUB format, as well as other popular books in Medicine & Pharmacology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2023
ISBN
9781000994599
Edition
1
Subtopic
Pharmacology

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Editors
  8. Contributors
  9. Chapter 1 The Omnipotent and Omnipresent Inevitability of Artificial Intelligence (AI): AI Is All about Creating a Win-Win Situation
  10. Chapter 2 An Overview of Artificial Intelligence-driven Pharmaceutical Functionality
  11. Chapter 3 Artificial Intelligence in Pharmaceutical Technology: Scope for the Future
  12. Chapter 4 Applications of Artificial Intelligence in Drug Delivery Systems
  13. Chapter 5 Role of Artificial Intelligence (AI) Drug Discovery and Development
  14. Chapter 6 Artificial Intelligence in Pharmaceutical Healthcare
  15. Chapter 7 Role of Machine Learning in Automated Detection and Sorting of Pharmaceutical Formulations
  16. Chapter 8 Pharmaceutical Drugs, Biologics, Gene Therapies, and Medical Device Regulation
  17. Chapter 9 Artificial Intelligence in Community Pharmacy
  18. Chapter 10 An Ethical Outlook on the Applications of Artificial Intelligence in Medicine and Pharmacy
  19. Chapter 11 Role of Artificial Intelligence and Machine Learning in Nanosafety
  20. Index