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
General
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