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

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

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
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 & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2022
Print ISBN
9780367708078
eBook ISBN
9781000652697
Edition
1
Topic
Economics
Subtopic
Probability & Statistics
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