We explore how a 27‑billion-parameter biology foundation model from the Gemma family generated a testable, context‑dependent hypothesis that boosts MHCI antigen presentation only under a specific immune condition. Through a dual‑context virtual screen, somatassertib (CX4945) was predicted to act as a conditional amplifier and validated experimentally in human neuroendocrine cells, marking a milestone in AI‑driven biology. We discuss the implications for cancer immunotherapy, the future of AI‑assisted discovery, and where to access the preprint, model, and code.

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