Artificial Intelligence and Machine Learning in Modern Pharmacy

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative tools in the field of modern pharmacy. They offer new possibilities in drug discovery, precision medicine, patient care, and pharmaceutical research. AI algorithms can process massive datasets, identify hidden patterns, and support decision-making, while ML models continuously improve their performance through experience. This review explores the current applications, benefits, and limitations of AI and ML in pharmacy, with a focus on their impact on drug development, disease prediction, and personalized treatment. The paper also highlights ongoing challenges and future directions in integrating these technologies into clinical and research settings.