By Shekoofeh Azizi

Google DeepMind recently announced that its AI model C2S-Scale had generated a “novel hypothesis” about how cancer cells behave, which was later confirmed through lab experiments. The research was conducted in collaboration with Yale University. The lab believes this marks a milestone for AI in science and opens up a promising new direction for developing cancer treatments.

Shekoofeh Azizi, Staff Research Scientist and Research Lead at Google DeepMind, speaks with Kaunain Sheriff M about the significance of this breakthrough.

In simple terms, what is C2S-Scale, how does it ‘read’ the language of individual cells, and why do you consider it a breakthrough in single-cell analysis?

C2S-Scale is a family of large language models (LLMs) built upon Google’s Gemma-2 arch

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