Abstract

The integration of Artificial Intelligence (AI) into pharmaceutical research represents a transformative leap in drug development, addressing the challenges posed by complex diseases and traditional methodologies. In this comprehensive overview, we explore the historical evolution of AI's role in pharmaceutical research and its crucial importance in drug delivery and development. The foundational elements of AI in drug delivery and development are elucidated through an in-depth analysis of machine learning (ML) algorithms, deep learning techniques, and natural language processing in bioinformatics. These form the bedrock for understanding the subsequent chapters that unravel the emerging roles of AI in drug discovery, formulation, and delivery. An insightful examination of drug repurposing and interaction reveals AIdriven strategies, providing new therapeutic avenues. The chapters further unravel AI's impact on pharmacokinetics, pharmacodynamics, and its data-driven approaches for dose optimization. Clinical trials and patient recruitment witness a revolution through AI, optimizing design and ensuring regulatory compliance and safety. This chapter promises a holistic understanding of the symbiotic relationship between AI and pharmaceuticals, offering a roadmap for innovation and efficiency in the pursuit of advanced healthcare solutions.

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