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Data Science, AI, and Machine Learning in Drug Development

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.


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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