Artificial Intelligence for Drug Product Lifecycle Applications
eBook - ePub

Artificial Intelligence for Drug Product Lifecycle Applications

  1. 600 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence for Drug Product Lifecycle Applications

About this book

Artificial Intelligence for Drug Product Lifecycle Applications explains the use of artificial intelligence (AI) in drug discovery and development paths, including the clinical and postapproval phases. This book gives methods for each of the drug development steps, from the fundamentals to postapproval drug product. AI is a synergistic assembly of enhanced optimization strategies with particular applications in pharmaceutical development and advanced tools for promoting cost-effectiveness throughout the drug lifecycle. Specifically, AI brings together the potential to improve drug approval rates, reduce development costs, get medications to patients faster, and help patients comply with their treatments.Accelerated pharmaceutical development and drug product approval rates will enable larger profits from patent-protected market exclusivity. This book offers the tools and knowledge to create the right AI strategy to extend the landscape of AI applications across the drug lifecycle. It is especially useful for pharmaceutical scientists, health care professionals, and regulatory scientists, as well as advanced students and postgraduates actively involved in pharmaceutical product and process development involving the use of artificial intelligence in drug delivery applications. - Classifies AI methodologies and application examples into different categories representing the various steps of the drug development cycle - Combines timely literature review with clear artworks to improve understanding - Examines deep learning and machine learning in drug discovery

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Yes, you can access Artificial Intelligence for Drug Product Lifecycle Applications by Alberto Pais,Carla Vitorino,Sandra Nunes,Tânia Cova in PDF and/or ePUB format, as well as other popular books in Medicine & Pharmaceutical, Biotechnology & Healthcare Industry. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Artificial Intelligence for Drug Product Lifecycle Applications
  2. Cover
  3. Title Page
  4. Copyright
  5. Table of Contents
  6. Contributors
  7. About the editors
  8. Preface
  9. Chapter 1 Artificial intelligence: The foundation principles
  10. Chapter 2 Artificial intelligence: A regulatory perspective
  11. Chapter 3 Automating drug discovery
  12. Chapter 4 Pharmacometrics and machine learning in drug development
  13. Chapter 5 Multi-omics/genomics in predictive and personalized medicine
  14. Chapter 6 AI and machine learning in pharmaceutical formulation and manufacturing of personalized medicines
  15. Chapter 7 Process analytics for the manufacturing of nanomedicines: Challenges and opportunities
  16. Chapter 8 The role of artificial intelligence and machine learning in clinical trials
  17. Chapter 9 Artificial intelligence in healthcare
  18. Index