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Investing.com -- Google announced a breakthrough in cancer research on Wednesday with the release of Cell2Sentence-Scale 27B (C2S-Scale), a 27 billion parameter foundation model designed to understand cellular language.
Built on Google’s Gemma family of open models, C2S-Scale has successfully generated and experimentally validated a novel hypothesis about cancer cellular behavior, revealing a promising new pathway for developing cancer therapies.
The model identified silmitasertib (CX-4945), a kinase CK2 inhibitor, as a potential treatment that could enhance antigen presentation in tumors with low-level interferon signaling. This discovery could help make "cold" tumors (those invisible to the immune system) more visible and potentially responsive to immunotherapy.
Laboratory tests confirmed the model’s prediction, showing that combining silmitasertib with low-dose interferon produced a synergistic amplification of antigen presentation, increasing it by approximately 50% in human neuroendocrine cell models.
"This discovery reveals a promising new pathway for developing therapies to fight cancer," Google stated in its announcement.
The breakthrough demonstrates that larger AI models can acquire entirely new capabilities in biological research, not just improve at existing tasks. Google’s research teams at Yale University are now exploring the mechanism further and testing additional AI-generated predictions in other immune contexts.
The C2S-Scale 27B model and its resources have been made available to the research community, potentially accelerating the path to new cancer therapies through further preclinical and clinical validation.
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