芯片上的蠕虫：用于快速诊断抗菌素耐药性现象的自动化秀丽隐虫生物传感技术

This project aims to develop a rapid antimicrobial susceptibility testing method using the nematode *Caenorhabditis elegans* as a biosensor. By leveraging automated imaging and machine-learning classification on a microfluidic platform, the research seeks to provide diagnostic results in hours, enhancing antimicrobial stewardship in clinical settings.