Talk
Discovery of innate immune agonists using deep learning on high-dimensional phenomics
March 23, 2022
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23 minutes
Learn how Spring's technology is used to discover novel innate immune agonists by applying our deep learning-based approach to high-dimensional phenotypic drug screens.
By using the Spring Engine to analyze a variety of cell types in a single experiment — in this case a heterogenous mixture of primary human PBMCs — Spring is able to quantify the immune response behavior of marketed reference immune agonists and unknown compounds using a novel imaging-based perspective of immune function.
Spring's innate immune discovery case study presented by lead scientist Matt Booty at Sting & TLR-Targeting Therapies Summit 2022
AUTHORS
Matt Booty, Ben Komalo, Ahmed Hosny, Sarah Headland, An Nguyen, Wendy Cousin, Lauren Nicolaisen, Brandon White, Rachel Jacobson