The rollout centers on JanusMatrix 2.1, which utilizes artificial intelligence to weight epitope cross-conservation against specific prevalence and expression data. This allows for a more nuanced understanding of immune tolerance. By incorporating these findings into the new JanusMatrix-Adjusted EpiMatrix score, researchers gain a clearer picture of intrinsic effector epitope density across various therapeutic modalities.
EpiVax Upgrades Immunogenicity Platform with AI-Driven Tools
Providence-based EpiVax has unveiled significant AI-enabled enhancements to its ISPRI platform, aiming to sharpen how developers assess the immunogenicity risks of biotherapeutics. The update integrates advanced modeling to better align computational predictions with clinical outcomes, providing a more precise view of how drugs interact with the human immune system.

EpiVax also launched ADA 2.2, an updated anti-drug antibody prediction model. By merging epitope-based analysis with biophysical attributes and specific mode-of-action criteria, the tool shows a stronger correlation with clinical observations than previous iterations. These additions arrive as regulators like the FDA push for the adoption of human-relevant New Approach Methodologies, offering developers a pathway to identify immune liabilities earlier in the drug discovery process.




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