Data Science, AI, and Machine Learning in Drug Development
eBook - ePub

Data Science, AI, and Machine Learning in Drug Development

  1. 320 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data Science, AI, and Machine Learning in Drug Development

Book details
Table of contents
Citations

About This Book

The confluence of big data, artificial intelligence (AI), and machine learning (ML) has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances, it is essential to systematically harness data from diverse sources and leverage digital technologies and advanced analytics to enable data-driven decisions. Data science stands at a unique moment of opportunity to lead such a transformative change.

Intended to be a single source of information, Data Science, AI, and Machine Learning in Drug Research and Development covers a wide range of topics on the changing landscape of drug R & D, emerging applications of big data, AI and ML in drug development, and the build of robust data science organizations to drive biopharmaceutical digital transformations.

Features

  • Provides a comprehensive review of challenges and opportunities as related to the applications of big data, AI, and ML in the entire spectrum of drug R & D
  • Discusses regulatory developments in leveraging big data and advanced analytics in drug review and approval
  • Offers a balanced approach to data science organization build
  • Presents real-world examples of AI-powered solutions to a host of issues in the lifecycle of drug development
  • Affords sufficient context for each problem and provides a detailed description of solutions suitable for practitioners with limited data science expertise

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Yes, you can access Data Science, AI, and Machine Learning in Drug Development by Harry Yang in PDF and/or ePUB format, as well as other popular books in Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2022
ISBN
9781000652697
Edition
1
Topic
Economics
Subtopic
Statistics for Business & Economics
Index
Economics

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Preface
  8. Contributors
  9. 1. Transforming Pharma with Data Science, AI and Machine Learning
  10. 2. Regulatory Perspective on Big Data, AI, and Machining Learning
  11. 3. Building an Agile and Scalable Data Science Organization
  12. 4. AI and Machine Learning in Drug Discovery
  13. 5. Predicting Anticancer Synergistic Activity through Machine Learning and Natural Language Processing
  14. 6. AI-Enabled Clinical Trials
  15. 7. Machine Learning for Precision Medicine
  16. 8. Reinforcement Learning in Personalized Medicine
  17. 9. Leveraging Machine Learning, Natural Language Processing, and Deep Learning in Drug Safety and Pharmacovigilance
  18. 10. Intelligent Manufacturing and Supply of Biopharmaceuticals
  19. 11. Reinventing Medical Affairs in the Era of Big Data and Analytics
  20. 12. Deep Learning with Electronic Health Record
  21. 13. Real-World Evidence for Treatment Access and Payment Decisions
  22. Index