Leveraging Medical Twitter to Build a Visual Language AI Model for Pathology

Explore how medical Twitter data can be leveraged to build a visual language AI model for pathology in this conference talk from the Computational Genomics Summer Institute (CGSI) 2023. Delve into the innovative research presented by James Zou, which combines social media content with advanced AI techniques to enhance pathological analysis. Learn about the integration of spatial gene expression data with breast tumor morphology using deep learning methods. Discover the potential of graph deep learning for characterizing tumor microenvironments from spatial protein profiles in tissue specimens. Gain insights into the development of the 7-UP method for generating in silico CODEX data from a limited set of immunofluorescence markers. Explore the identification of spatial cellular structures using the SPACE-GM approach. This talk offers a comprehensive overview of cutting-edge techniques that bridge the gap between social media, artificial intelligence, and pathology, potentially revolutionizing disease diagnosis and treatment strategies.