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Explore the intersection of computational analysis and genomics in this 40-minute conference talk from the Computational Genomics Summer Institute (CGSI) 2023. Delve into the computational analysis of liver whole slide images and its impact on genomic analyses of historical traits. Gain insights from Francesco Paolo Casale's research, which combines convolutional neural networks, machine learning, and genetic analysis techniques. Examine how H&E-stained biopsy images can accurately quantify histologic features of non-alcoholic steatohepatitis and predict molecular measurements in NASH F3/F4 fibrosis clinical cohorts. Learn about efficient set tests for genetic analysis of correlated traits, attention-based deep multiple instance learning, and contrastive learning of visual representations. Discover how these computational approaches are revolutionizing our understanding of liver diseases and advancing genomic research.
