Owkin expanded its collaboration with Sanofi to use AI for drug positioning in immunology.
Sanofi needed to identify the best indications and patient subpopulations for immunology therapeutics. Owkin applied its AI target discovery engine and machine learning to multimodal data within Sanofi's immunology pipeline. The page says it identified candidate gene targets with associated subpopulations and discloses no clinical efficacy metrics.
Owkin is a French AI company building biology models and the K Pro AI Scientist, working with pharma on drug positioning, trial design and pathology diagnostics.
This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.
Published by Owkin on its own site — read the original case study on owkin.com ↗
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