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Artificial Intelligence in Drug Development
Navigating emerging regulatory expectations and enhancing clinical trials
Aug 06, 2024
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Discover IQVIA's insights on integrating Artificial Intelligence (AI) and Machine Learning (ML) in drug development. This white paper, authored by Patrick Brady, PharmD, delves into the regulatory expectations and strategic implementation of AI/ML in clinical trials. It highlights the benefits of AI/ML across the drug development lifecycle, from patient recruitment to dose optimization, while emphasizing the importance of regulatory compliance and risk management. Learn about the latest regulatory guidelines, best practices for AI/ML implementation, and how to leverage these technologies for more efficient and effective clinical trials. Download now to stay ahead in the evolving landscape of drug development.

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