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Google unveils Gemini-based 'AI co-scientist' with lab-validated hypotheses

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Google Research described a multi-agent system built on Gemini 2.0 that generates, critiques, ranks and refines research hypotheses. Collaborators reported lab support for its proposals in three areas: drug repurposing candidates for acute myeloid leukaemia, epigenetic targets for liver fibrosis tested in organoids, and an antimicrobial-resistance gene-transfer mechanism that matched unpublished Imperial College London findings.

Why it matters

It marked the shift from AI as a prediction tool to AI as a hypothesis generator inside the research loop, the model later scaled up by agentic science efforts.

SourcearXiv (Gottweis et al., Towards an AI co-scientist)Coverage: Google Research blog Checked against the primary source. Independently fact-checked on 7 Oct 2026.
GoogleGoogle DeepMindImperial College LondonStanford University

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