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Press releaseGlobeNewswire· April 17, 2026

New data demonstrates the unique scalability of Evaxion’s AI-Immunology™ platform in glioblastoma

View original at globenewswire.com
New data demonstrates the unique scalability of Evaxion’s AI-Immunology™ platform in glioblastoma Data analysis conducted in collaboration with a leading academic medical center shows that AI‑Immunology™ enables vaccine design also for the deadly brain cancer, glioblastomaUniquely, the platform can identify a novel sou…
Opening lines of the source · GlobeNewswire · short snapshot — read the full document at the original

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  • AI-Immunology™ is a unique platform for designing vaccines for many different cancer types, combining neoantigens with other types of antigens, which holds great potential for improving vaccine efficacy

    60% confidence
  • AI-Immunology™ can be applied across a range of different cancers as well as other diseases

    60% confidence
  • There is a dire need for better treatment options for glioblastoma, which is refractory to immunotherapy due to low mutational burden and paucity of canonical neoantigens. ERVs constitute a new tumor-specific antigen source that can be targeted by vaccines alongside mutation-derived epitopes

    60% confidence
  • In addition to ERV-derived antigens, neoantigens of sufficient quality to include in a vaccine were identified in the majority of patients

    60% confidence
  • ERVs constitute a relevant antigen source that may overcome limitations imposed by low mutational burden, providing a strong Proof-of-Concept for personalized vaccines incorporating ERV-derived antigens

    60% confidence
  • AI-Immunology™ has unique capabilities in identifying ERVs, opening a whole new source of antigens which can potentially greatly improve the efficacy of cancer vaccines for glioblastoma patients who generally have few neoantigens to target due to low mutational burden

    60% confidence
  • ERVs are tumor antigens from the dark genome that are present in tumors but absent in normal tissue, making them highly attractive targets for cancer vaccines

    60% confidence

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