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.
Keywords: AI-based pharmacokinetics, AI-driven drug development, Artificial intelligence, Artificial neural network, Bioinformatics, Clinical trials, Deep learning, Dose optimization, Dosage customization, Drug discovery.
