AI-Enabled Techniques in Pharmacy: Transforming Drug Discovery and Clinical Practice

Abstract: Artificial Intelligence (AI) has emerged as a transformative technology in the field of pharmacy, significantly enhancing the efficiency, accuracy, and scope of pharmaceutical research and clinical practice. AI-enabled techniques such as machine learning, deep learning, natural language processing, and expert systems are increasingly being applied in drug discovery, formulation development, clinical decision support, pharmacovigilance, and personalized medicine. These techniques enable rapid analysis of large and complex datasets, prediction of drug–target interactions, identification of adverse drug reactions, and optimization of therapeutic outcomes. This article explores the role of AI-enabled techniques in revolutionizing drug discovery and clinical pharmacy practice, highlighting key applications, benefits, and challenges. The study emphasizes how AI supports pharmacists and researchers in improving patient safety, reducing development costs, and accelerating innovation, while also addressing ethical, regulatory, and implementation concerns. Keywords:Artificial Intelligence; Pharmacy Practice; Drug Discovery; Machine Learning; Clinical Decision Support Systems; Pharmacovigilance; Personalized Medicine