ARTIFICIAL INTELLIGENCE IN PHARMACY – REVOLUTIONISING, DISCOVERY, DEVELOPMENT AND EDUCATION
Abstract
Artificial intelligence (AI) is reshaping the pharmaceutical sciences by introducing data-driven solutions that enhance efficiency, accuracy, and innovation across the entire healthcare spectrum. In drug discovery, AI enables rapid identification of molecular targets, prediction of drug–receptor interactions, and virtual screening of vast compound libraries, significantly reducing the time and cost of identifying novel therapeutics. Within drug development, AI-driven tools support preclinical modeling, optimization of formulation strategies, patient stratification, and clinical trial management, thereby improving safety profiles and regulatory compliance. In pharmacy practice, AI-powered clinical decision support systems, digital adherence monitoring, and personalized therapy recommendations are advancing patient-centered care. Equally transformative is the integration of AI into pharmacy education, where adaptive learning platforms, simulation technologies, and data analytics are preparing future pharmacists to navigate a digitally enabled healthcare landscape. Despite its vast potential, AI adoption in pharmacy faces several challenges, including data quality, algorithmic transparency, ethical concerns, regulatory uncertainties, and the need for workforce training. Addressing these barriers is essential to ensure equitable, responsible, and sustainable implementation of AI technologies. This chapter provides a comprehensive exploration of how AI is revolutionizing pharmaceutical discovery, development, and education, while highlighting the opportunities and challenges that will shape the future of pharmacy in the era of intelligent systems.
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