Talk

Adjuvant Discovery Using Deep Learning on High-Dimensional Phenomics

April 26, 2022

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

THANK YOU

Spring’s AI R&D platform has been acquired by a major biotech leader in the Bay Area.

Read more →


Thank you to our trusted partners across biotech, pharma, and academic research.

Our scientific resources are still available here →

© 2025 Spring Discovery.

All rights reserved.

THANK YOU

Spring’s AI R&D platform has been acquired by a major biotech leader in the Bay Area.

Read more →


Thank you to our trusted partners across biotech, pharma, and academic research.

Our scientific resources are still available here →

© 2025 Spring Discovery.

All rights reserved.

THANK YOU

Spring’s AI R&D platform has been acquired by a major biotech leader in the Bay Area.

Read more →


Thank you to our trusted partners across biotech, pharma, and academic research.

Our scientific resources are still available here →

© 2025 Spring Discovery.

All rights reserved.