We have two speakers for the 2020 PDD SIG. Ellen Berg: CSO Translational Biology at Eurofins Discovery “Using Data Visualization to Support the Application of Phenotypic Profiling Platforms in Drug Discovery” and Joseph Carpenter: Director Of Chemistry at Recursion Pharmaceuticals “AI/ML Enabled High Dimensional Phenotypic Drug Discovery: From Screen to Lead Optimization” Ellen’s abstract: Comparison to data from known drugs helps to correctly interpret phenotypic assay results. Interpretation of these data becomes challenging, however, when compounds are compared across multiple assays. Here we will showcase methods that facilitate the exploration of phenotypic profiling data sets, by incorporating compound and assay metadata into interactive visualizations. The use of phenotypic platforms in drug discovery continues to increase along with sophisticated analytics tools that incorporate machine learning and deep learning methods. Thus, the ability to navigate and visualize results will become even more important for understanding these data and making effective program decisions. Joe’s Abstract: In an effort to improve the ability to identify disease modifying molecules that act via novel mechanisms and enhance the probability of clinical success Recursion has developed an AI/ML enabled high dimensional image based phenotypic screening platform. We can use this phenotypic platform to exploit different approaches to modeling disease including genetic loss of function via CRISPR knockout or immune modulation with soluble factors to generate relevant cellular models of human disease. Subsequent small molecule screens are executed in order to “rescue” the diseased cells. Complex cellular images are analyzed employing state of the art AI/ML algorithms to identify hits and drive structure activity relationship work. Compounds are subsequently validated in secondary assays and ultimately advanced to hit-to-lead and lead optimization stages. The identification and advancement of a small molecule asset from phenotypic screening hit to lead optimization activities will be presented.