Microfluidic Conjugating AI Platform for High‐throughput Nanomedicine Screening

Nanomedicines play an indispensable role in contemporary medical practice, offering multifaceted benefits such as facilitating early diagnostics, disease prevention, and therapeutic interventions. Within the realm of nanomedicine, the preparation of nanodrugs stands as a pivotal component. Nanodrugs possess unique size and surface properties that contribute to enhancing drug solubility, pharmacokinetics, and targeting precision. However, the development of novel nanodrugs encounters challenges such as limitations in screening models, resulting in low screening efficiency. This necessitates significant time and financial investments. Microfluidic technologies and artificial intelligence (AI) offer promising solutions to address these challenges. AI-driven drug design and screening have demonstrated their efficacy in accelerating virtual screening and structural design processes. Meanwhile, microfluidic devices provide precise control over in vivo microenvironments, enabling high-throughput screening with uniform drug preparation. The integration of microfluidic platforms with AI promises to revolutionize nanomedicine screening by generating vast datasets for model training, thereby enhancing screening efficiency and throughput. In this chapter, we review the proceedings in microfluidic techniques and AI models for nanomedicine screening and discuss the potential further developments.