Artificial Intelligence (AI) in Drug Design & Formulation

Abstract

The application of Artificial Intelligence (AI) in drug design and formulation has revolutionized pharmaceutical research by improving efficiency, reducing cost, and enabling personalized medicine. AI algorithms, including machine learning (ML) and deep learning (DL), have demonstrated the ability to predict molecular properties, optimize drug candidates, and assist in formulation design. This review discusses the integration of AI in various stages of drug discovery, including target identification, lead optimization, and formulation development. Furthermore, it highlights current challenges, regulatory considerations, and future prospects for AI-driven pharmaceutical innovation. The study emphasizes the transformative potential of AI while providing insights into practical applications in the pharmaceutical industry.

KEYWORDS: Artificial intelligence, drug design, drug formulation, machine learning, deep learning, pharmaceutical technology, predictive modeling.