Artificial Intelligence and Digital Transformation in Regulatory Affairs: Opportunities, Challenges, and Future Perspectives

Abstract

Artificial intelligence (AI) has emerged as a transformative force across multiple industries, driving efficiency, innovation, and data-driven decision-making. In the life sciences sector, Regulatory Affairs (RA) faces increasing complexity due to stringent compliance requirements, growing submission volumes, and accelerated timelines for market authorization. The convergence of AI and digital transformation presents unprecedented opportunities to optimize RA processes, including automated document management, predictive analytics for regulatory strategy, pharmacovigilance, and global labeling harmonization. AI technologies such as machine learning, natural language processing, and robotic process automation function as productivity multipliers, reducing errors and accelerating regulatory workflows. However, effective adoption requires careful attention to data quality, model validation, governance, ethical considerations, and workforce training. This article reviews the current landscape of AI applications in Regulatory Affairs, explores key challenges, and provides a forward-looking perspective on how AI-driven digital transformation can enhance compliance, operational efficiency, and strategic decision-making in life sciences organizations.

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