Application of AI in Nanomedicine Manufacturing, Characterization, and Quality Control

Nanomedicine’s unique potential to address complex health challenges is driving rapid advancements and enabling the development of more effective therapies. However, the inherent complexity of these systems presents major hurdles in development, scalable manufacturing, characterization, and quality control. Artificial intelligence (AI) and machine learning (ML) are emerging as transformative tools to improve efficiency and precision across the product lifecycle. In manufacturing, AI-driven platforms optimize nanoparticle synthesis, formulation design, and scale-up through predictive modeling and real-time data analysis. For characterization, ML algorithms efficiently process complex datasets, enabling accurate evaluation of nanoparticle size, shape, and surface properties. Together, these technologies accelerate product development while improving reproducibility and regulatory compliance. This presentation will explore the transformative impact of AI and ML on nanomedicine manufacturing and characterization, illustrated through case studies.