Presented by: by Dr. Degui Zhi, PhD, Glassell Family Professor of Biomedical Informatics, Director of Center for AI & Genome Informatics, McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston (UTHealth Houston)

While genome-wide association studies (GWAS) have fueled the amazing genetic discovery in the past 15 years or so, most existing studies were using traditional phenotypes. With deep learning-based AI, it is possible to generate many new phenotypes. Powered by big data in biobanks, many new loci can be discovered. As a result, the landscape of GWAS might be different. In this talk, I will discuss the possible future with large-scale AI-driven GWAS.