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2 entries

Keyword: drug-discovery
  • Article:Juraj Gottweis et al.

    Co-Scientist: Gemini-Powered Multi-Agent System for Scientific Hypotheses

    A research team led by Juraj Gottweis and Vivek Natarajan has introduced 'Co-Scientist' in Nature. Built on Google Gemini, the multi-agent system assists researchers in formulating, evaluating and evolving novel scientific hypotheses and experimental protocols. By scaling test-time compute within an asynchronous multi-agent framework, hypotheses undergo iterative tournament-based self-improvement. The system was validated through in vitro laboratory experiments across three complex biomedical domains.

    AI & LLMs· Research

  • Article:Yoel Shoshan, Moshiko Raboh, Michal Ozery-Flato, et al.

    MAMMAL: Multi-Modal Foundation Model for Biomedical Discovery

    Researchers from IBM and collaborating institutions introduce MAMMAL, a cross-modal foundation model tailored to drug discovery. The architecture unifies protein and antibody sequences, small molecules, and gene expression profiles into a sequence-based framework, pre-trained on two billion samples.

    AI & LLMs· Research

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