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The Future of Drug Discovery: The 27B AI That Found a New Cancer Immunotherapy Pathway
Manage episode 514009057 series 3690682
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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.
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
Sponsored by Embersilk LLC
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