Provides a comprehensive review of challenges and opportunities as related to the applications of big data, AI, and machine learning 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 detailed description of solutions suitable for practitioners with limited data science expertise
- ISBN:
- 9780367708078
- 9780367708078
-
Category:
- Chemistry
- Format:
- Hardback
- Publication Date:
-
03-10-2022
- Publisher:
- Taylor & Francis Ltd
- Country of origin:
- United Kingdom
- Pages:
- 320
- Dimensions (mm):
- 234x156mm
- Weight:
- 0.45kg
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