A multi-agent system for automating scientific discovery
A new multi-agent system named Robin has been developed to automate scientific discovery processes. This system integrates various agents to generate hypotheses, propose experiments, and analyze data, marking a significant advancement in AI-driven research. Robin has successfully identified potential therapeutic candidates for dry age-related macular degeneration, showcasing its capabilities in experimental biology.
- ▪Robin is the first multi-agent system capable of fully automating hypothesis generation and data analysis for experimental biology.
- ▪The system identified ripasudil and KL001 as promising therapeutic candidates for dry age-related macular degeneration.
- ▪Robin proposed a follow-up RNA-seq experiment that revealed upregulation of ABCA1, a potential novel target.
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Article Published: 19 May 2026 A multi-agent system for automating scientific discovery Ali Essam Ghareeb1 na1, Benjamin Chang1,2 na1, Ludovico Mitchener1, Angela Yiu ORCID: orcid.org/0009-0001-6627-04201, Caralyn J. Szostkiewicz1, Dmytro Shved3, Gavin J. Gyimesi3, Jon M. Laurent1, Samantha M. Wright1, Muhammed T. Razzak1, Andrew D. White1 na2, Silvia C. Finnemann ORCID: orcid.org/0000-0001-9298-07361, Michaela M. Hinks1 na2 & …Samuel G. Rodriques ORCID: orcid.org/0000-0002-2509-08611 na2 Show authors Nature (2026) Cite this article 9483 Accesses 381 Altmetric Metrics details We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing.
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