Microfluidics

Artificial Intelligence & Automation in Microfluidics

The integration of artificial intelligence, machine learning, robotics, and automation is creating new opportunities for intelligent microfluidic systems. Topics include automated experimentation, image analysis, predictive modeling, intelligent flow control, optimization, and autonomous laboratory platforms. Discussions examine how emerging computational technologies can improve microfluidic research and system efficiency.