Lab-in-the-loop machine learning for brain-targeting delivery system design

Congratulations to Dr. Qiujun Qiu and Prof. Jianxin Wang!

This study introduces an AI-powered platform that transforms brain-targeted drug delivery from trial-and-error to predictive design. By combining machine learning with 50 years of curated nanomedicine data, it uncovers how nanoparticle properties influence brain distribution. The open-access tool supports rational design of high-efficiency delivery systems and advances our understanding of blood-brain barrier penetration. It also serves as a valuable resource for the community, accelerating precision therapeutics and fostering collaboration between AI modeling and experimental nanomedicine.