ArticleJuraj Gottweis et al.Research
Scientific discovery increasingly requires bridging hyper-specialised domain depth with broad interdisciplinary insights. Co-Scientist demonstrates that scaling test-time compute through structured multi-agent reasoning can generate genuine, experimentally verifiable scientific hypotheses rather than static literature summaries.
The paper underscores a broader shift from single-prompt LLMs to compound multi-agent architectures that simulate the scientific method through debate, critique and evolutionary ranking. What distinguishes Co-Scientist is its rigorous ground-truthing: rather than stopping at in silico predictions, the proposed AML drug combinations and liver fibrosis epigenetic targets were validated in wet-lab in vitro assays. This signals practical utility for agentic systems in accelerating early-stage biomedical research and development.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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