Evidence map›Paper›PMID 42156546›Full record

ArticleNature2026

A multi-agent system for automating scientific discovery.

Ali E Ghareeb, Benjamin Chang, Ludovico Mitchener, Angela Yiu, Caralyn J Szostkiewicz, Dmytro Shved, Gavin J Gyimesi, Jon M Laurent, Samantha M Wright, Muhammed T Razzak and 4 more

Abstract read
In one paragraph

Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

  1. Article
  2. Artificial intelligence-assisted lead optimization in drug discovery: bridging computational advances and translational challenges.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Machine Learning for CRISPR-Based Diagnostics.International journal of molecular sciences · 2026
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Ali E Ghareeb *FutureHouse, San Francisco, CA, USA.
Benjamin Chang *FutureHouse, San Francisco, CA, USA.
Ludovico MitchenerFutureHouse, San Francisco, CA, USA.
Angela YiuFutureHouse, San Francisco, CA, USA.ORCID http://orcid.org/0009-0001-6627-0420
Caralyn J SzostkiewiczFutureHouse, San Francisco, CA, USA.
Dmytro ShvedFordham University, New York, NY, USA.
Gavin J GyimesiFordham University, New York, NY, USA.
Jon M LaurentFutureHouse, San Francisco, CA, USA.
Samantha M WrightFutureHouse, San Francisco, CA, USA.
Muhammed T RazzakFutureHouse, San Francisco, CA, USA.
Andrew D WhiteFutureHouse, San Francisco, CA, USA. andrew@futurehouse.org.
Silvia C FinnemannFordham University, New York, NY, USA.ORCID http://orcid.org/0000-0001-9298-0736
Michaela M HinksFutureHouse, San Francisco, CA, USA. michaela@edisonscientific.com.
Samuel G RodriquesFutureHouse, San Francisco, CA, USA. sam@futurehouse.org.ORCID http://orcid.org/0000-0002-2509-0861

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scientific discovery is driven by the iterative process of observation, hypothesis generation, experimentation and data analysis. Despite recent advancements in applying artificial intelligence (AI) to biology, no system has yet automated all these stages

Indexed as

AutomationDrug DiscoveryIntelligent SystemsMacular DegenerationAnimalsATP Binding Cassette Transporter 1HumansPhagocytosisRetinal Pigment Epitheliumrho-Associated KinasesSequence Analysis, RNASulfonamidesATP Binding Cassette Transporter 1rho-Associated KinasesSulfonamides

Identifiers

PMID42156546
PMCPMC13346116

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.