1/5 We pretrained Omnii, a multimodal language model on DNA. Then, we asked it to design a cancer vaccine In new research, we show how Omnii learned to turn a tumor DNA sequence into a personalized mRNA vaccine design. Read more here: radicalnumerics.ai/blog/omni…
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2/5 This was a surprising emergent capability. Omnii was pretrained largely through next-token prediction on DNA, not for cancer vaccines. Post-trained, it could run the full pipeline: tumor DNA → neoantigens → presentation → immunogenicity → optimized mRNA vaccine
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3/5 A personalized cancer vaccine teaches the immune system which parts of a tumor to attack. The hard part is picking the right targets. Most tumor mutations are not useful vaccine targets. A candidate must pass two tests: will the tumor present it, and will the immune system respond?
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4/5 Omnii predicts both for MHC class I and class II, ranks the best targets, then designs an optimized mRNA cassette. On public benchmarks, Omnii outperformed specialized models on both antigen presentation and immunogenicity prediction, requiring only minimal post-training and no architectural modifications:

Sep 8, 2026 · 4:07 PM UTC

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5/5 Moderna’s melanoma cancer vaccine just succeeded in Phase 3. Can we extend this to any cancer, any patient? We are looking for researchers and partners who want to push this further. Read the technical post: radicalnumerics.ai/blog/omni…
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