ArticleEngineering biology
Engineering Biology in an Age of Convergence: Evolving Research Leadership at the AI-SynBio-Robotics Frontier.
Article in Engineering biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Navigating regulatory fragmentation in the convergence of synthetic biology, artificial intelligence, and automation.Nature communications · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI), engineering biology (often called synthetic biology), automation, and RNA therapeutics are rapidly converging into integrated discovery and translation platforms in which computational design, automated experimentation, and biological implementation are tightly coupled. This convergence is accelerating scientific capability and translational potential, but it also compounds governance complexity across biosecurity, data and AI governance, research integrity, national interest, social licence, and funding accountability. Conventional, discipline-based and compliance-centred oversight models are poorly suited to these integrated systems. This
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Identifiers
What OpenQuestion holds
Registered trials
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.