Jia Zhu

Using multimodal foundational models to predict neoantigen immunogenicity and vaccine effectiveness across different tumor types

This work is the first to use a multi-modal foundation model for neoantigen vaccines, overcoming the tumor-type-specific constraints of conventional approaches and facilitating joint modelling of immunogenicity and clinical efficacy, thereby offering an AI decision engine for precision cancer vaccine design that is applicable to all cancer types.