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Author

Jia Zhu

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#explainable ai Open access Sep 2026

Explainable spatial AI analyzes tumor-immune interactions to predict immunotherapy outcomes and identify new targets

The effectiveness of immune checkpoint inhibitors (ICIs) heavily depends on the complex spatial interactions of cells within the tumor microenvironment (TME). However, existing predictive biomarkers generally lack spatial resolution and interpretability, making it difficult to guide clinical decisions or reveal actiona...

Gang Liu, Jia Wang, Jia Zhu · 4 citations
#small language model Open access Aug 2026

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 app...

Gang Liu, Jia Wang, Jia Zhu · 2 citations

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