How a Gemma model helped discover a new potential cancer therapy pathway — from blog.google by Shekoofeh Azizi and Bryan Perozzi
We’re launching a new 27 billion parameter foundation model for single-cell analysis built on the Gemma family of open models.
Today, as part of our research collaboration with Yale University, we’re releasing Cell2Sentence-Scale 27B (C2S-Scale), a new 27 billion parameter foundation model designed to understand the language of individual cells. Built on the Gemma family of open models, C2S-Scale represents a new frontier in single-cell analysis.
This announcement marks a milestone for AI in science. C2S-Scale generated a novel hypothesis about cancer cellular behavior and we have since confirmed its prediction with experimental validation in living cells. This discovery reveals a promising new pathway for developing therapies to fight cancer.