Artificial Intelligence-Driven Innovations in Pharmaceutical Development and Drug Delivery Systems
Ting Zhu, Bing Liu, Ning Chen, Yuchen Liu, Zixuan Wang, Tian Xue
Abstract
As Artificial Intelligence (AI) technology rapidly advances, its application in pharmaceutical formulation design and Drug Delivery Systems (DDS) is expanding, revealing significant potential. AI technology has played a role in optimizing drug design, enhancing research and development efficiency, and improving the safety profiles of pharmaceutical products, thereby supporting the realization of personalized medicine. This article systematically examines the foundational applications and principles of AI in pharmaceutical formulation, while also evaluating its role in key areas such as drug development, manufacturing, quality control, and ADME/T (absorption, distribution, metabolism, excretion, and toxicity) prediction. In particular, AI can enhance prediction accuracy for drug solubility, stability, and bioavailability, while optimizing novel DDS through Machine Learning (ML) models, such as nanocarrier design and personalized drug release control. Furthermore, AI has been pivotal in advancing intelligent manufacturing technologies, including three-dimensional printing (3D printing) and continuous manufacturing. Finally, the article explores the opportunities and challenges presented by AI in drug development, regulation, and policymaking. Overall, AI's integration promises to revolutionize pharmaceutical development and regulatory practices.