Evidence map›Paper›PMID 37558186›Full record

ReviewBiotechnology advances2023

The technology, opportunities, and challenges of Synthetic Biological Intelligence.

Brett J Kagan, Christopher Gyngell, Tamra Lysaght, Victor M Cole, Tsutomu Sawai, Julian Savulescu

Abstract readReview
In one paragraph

Review in Biotechnology advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Article
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  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Harnessing Intelligence from Brain Cells In Vitro.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2025
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
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  19. Embodied Neural Systems Can Enable Iterative Investigations of Morally Relevant States.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  20. Article
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

6 authors.

Brett J KaganCortical Labs, Melbourne, VIC, Australia. Electronic address: brett@corticallabs.com.
Christopher GyngellMurdoch Children's Research Institute, Melbourne, VIC, Australia; University of Melbourne, Melbourne, VIC, Australia.
Tamra LysaghtCentre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Victor M ColeCentre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Tsutomu SawaiGraduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan; Institute for the Advanced Study of Human Biology (ASHBi), Kyoto University, Kyoto, Japan.
Julian SavulescuMurdoch Children's Research Institute, Melbourne, VIC, Australia; University of Melbourne, Melbourne, VIC, Australia; Centre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Funding

Wellcome Trust 203132Wellcome Trust WT203132/Z/16/Z
6 · The paper itself

Abstract

Integrating neural cultures developed through synthetic biology methods with digital computing has enabled the early development of Synthetic Biological Intelligence (SBI). Recently, key studies have emphasized the advantages of biological neural systems in some information processing tasks. However, neither the technology behind this early development, nor the potential ethical opportunities or challenges, have been explored in detail yet. Here, we review the key aspects that facilitate the development of SBI and explore potential applications. Considering these foreseeable use cases, various ethical implications are proposed. Ultimately, this work aims to provide a robust framework to structure ethical considerations to ensure that SBI technology can be both researched and applied responsibly.

Indexed as

IntelligenceTechnologySynthetic BiologyBiocomputingEthicsIntelligenceNeuroscienceSynthetic biology

Identifiers

PMID37558186
PMCPMC7615149

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.