Volume-2 ,Issue-1, January-2026

By fusing conventional methods with cutting-edge, data-driven strategies, artificial intelligence (AI) is transforming the pharmacy industry. Pharmacy, which has historically relied on empirical knowledge, manual compounding, and established protocols, presents difficulties in handling complicated medicines, polypharmacy, and customized patient care. AI improves drug discovery, formulation optimization, pharmacokinetic/pharmacodynamic modeling, clinical decision support, and customized therapy using machine learning, deep learning, natural language processing, and predictive modeling. Predictive, adaptive, and patient-centered pharmaceutical care is made possible by emerging technologies like generative AI, digital twins, and smart pharmacy systems. Adoption of AI, despite its potential, necessitates resolving issues with data quality, interoperability, algorithmic bias, ethical responsibility, regulatory compliance, and workforce preparedness. A path for safer, more effective, and future-ready pharmacy is provided by integrating AI with traditional medicine systems, historical pharmacognosy, and human expertise. This will ultimately change the field from reactive to predictive, evidence-based care.

Keyword: Artificial intelligence, pharmacy, drug discovery, precision medicine, digital health, pharmacokinetics, pharmacovigilance, smart pharmacy