Co-Scientist: A multi-agent AI partner to accelerate research
Co-Scientist is an AI system designed to assist in biomedical research by identifying potential drug repurposing candidates. In a recent study, it helped researchers discover a treatment for liver fibrosis that blocked a significant scarring response in lab tests. The findings suggest new avenues for gene-regulating therapies for chronic liver disease.
- ▪Co-Scientist accelerated the search for liver fibrosis treatments by identifying overlooked drug candidates.
- ▪One candidate blocked 91% of a scarring-linked response in laboratory tests.
- ▪The results were published in the journal Advanced Science.
Hacker News (Newest) files mainly under programming. We currently carry 5,306 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Google DeepMind |
| Canonical URL | https://deepmind.google/blog/co-scientist-a-multi-agent-ai-partner-to-accelerate-research/ |
| Publication time | Tue, 19 May 2026 17:54:33 +0000 |
| Retrieval time | 2026-05-19T18:04:57.912Z |
| Last seen | 2026-05-19T18:04:57.912Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | aH44PYqjeJdg |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Uncovering repurposed medicines to fight liver fibrosisCo-Scientist helped accelerate Gary Peltz’s search for liver fibrosis treatments. The AI system highlighted overlooked drug-repurposing candidates, including one that successfully blocked 91% of a scarring-linked response in lab tests. The results, published in Advanced Science, point toward new gene-regulating approaches to treat chronic liver disease.“Co-Scientist feels like a collaborator that’s read everything available about biomedical science, with the reasoning capabilities to find the connections that we’re currently missing.”Professor Gary Peltz, Stanford University School of Medicine Read case study
Excerpt limited to ~120 words for fair-use compliance. The full article is at Google DeepMind.
Discussion
0 commentsMore from Google DeepMind
