Intelligent lab-on-chip platforms provide rapid, accurate, and low-cost solutions for medical diagnostics by integrating complex laboratory processes onto a fingertip-sized chip. This research direction combines microfluidics, sensor arrays, and intelligent data analytics to enable real-time detection of biological samples such as blood and saliva. Our work focuses on developing novel biocompatible materials, ultra-sensitive electrochemical/optical sensing strategies, and AI-assisted multi-parameter analysis.

These systems offer significant advantages, including fast testing speed, excellent portability, and strong potential for early disease screening and point-of-care detection of emerging infectious diseases. Key challenges include improving selectivity and stability in complex biological environments, achieving reliable multi-parameter parallel detection, and promoting the translation of laboratory technologies into clinical applications. Students engaged in this field will gain interdisciplinary training across life sciences, chip fabrication, and AI-driven medical technologies, with strong application potential in future healthcare.