AI is changing the pharmaceutical industry by making drug discovery, development, manufacturing, and patient care more efficient, accurate, and cost-effective. Conventional pharmaceutical processes frequently entail significant time consumption, elevated costs, and substantial failure rates. AI-driven technologies like machine learning (ML) and deep learning (DL) have made drug discovery faster, improved formulation development, and made clinical trial results better. AI is also critical for pharmacovigilance, precision medicine, and managing the supply chain. Even though it has the potential to change things, there are still problems like data privacy, ethical issues, regulatory uncertainty, and a lack of interpretability. This review examines the applications, benefits, constraints, and future potential of AI in the pharmaceutical sector, offering a thorough overview for researchers and professionals.
Sruthi E. J.1 Aby Augustine*1 (Fri,) studied this question.