Data Science, AI, and Machine Learning in Drug Development

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