Talk
Adjuvant Discovery Using Deep Learning on High-Dimensional Phenomics
April 26, 2022
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54 minutes
Learn how Spring's technology is used to discover novel small-molecule adjuvants 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 adjuvants, directed agonists, and unknown compounds.
Presented by lead scientist Matt Booty as part of the NIAID Adjuvant Seminar Series
AUTHORS
Matt Booty, Ben Komalo, Ahmed Hosny, Sarah Headland, An Nguyen, Wendy Cousin, Lauren Nicolaisen, Brandon White, Rachel Jacobson