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 lever-age digital technologies and advanced analytics to enable data-driven deci-sions. 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 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 organiza-tions to drive biopharmaceutical digital transformations.
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