Artificial Intelligence and Laboratory Automation in Biotechnology

4 Credits.

This course is designed for students and researchers working in laboratory settings who are eager to integrate Artificial Intelligence (AI) into experimental biotechnology workflows. With the rapid advancement of AI, laboratories are increasingly leveraging machine learning, computational imaging, and automation to accelerate discovery and enhance data interpretation. This course bridges foundational AI concepts with hands-on laboratory applications, focusing on real-world use cases in laboratory analysis, preclinical research, and translational science. Emphasis will be placed on improving laboratory reproducibility and clinical translatability by using AI models that extract meaningful signals while minimizing confounders. Prerequisites: 410.604 Cellular Signal Transduction, 410.605 Experimental Design in Biotechnology, 410.606 Emerging Applications in Biotechnology.