Poster
Innate immune activation by MDAs enhances efficacy in vivo, as predicted by machine learning analysis
November 3, 2023
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6 minutes
The interactions of chemotherapy and immunity are poorly understood. MDAs (microtubule destabilizing agents), such as colchicine, are commonly used for their cytotoxic effects, but may have broader impacts.
Spring uses machine learning (ML) analyses of high-content cell images and secreted proteins to screen full compound libraries while acquiring complex functional details. We screened >12,000 bioactive compounds and compared their phenotypic effects on human PBMC to known mechanism controls. This dataset identified dozens of drug candidates across multiple clinical indications, simultaneously.
Using Spring’s platform, we uncovered unique mechanisms for a broad assortment of bioactive compounds. First, we used machine learning (ML) to develop models of control pathways (Fig 1), then compared unknowns. Several MDAs appeared immunostimulatory.
Hope O’Donnell, Matt Booty, Ben Komalo, Sarah Headland, Lauren Nicolaisen, Brandon White, Christian Elabd