Evidence map›Paper›PMID 40534823›Full record

ReviewFrontiers in digital health2025

Emerging technologies transforming the future of global biosecurity.

Renan Chaves de Lima, Juarez Antonio Simões Quaresma

Abstract readReview
In one paragraph

Review in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

2 authors.

Renan Chaves de LimaPostgraduate Program in Tropical Diseases (PPGDT), Tropical Medicine Center, Federal University of Pará, Belém, PA, Brazil.
Juarez Antonio Simões QuaresmaDepartment of Pathology, School of Medicine, São Paulo University, São Paulo, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The convergence of artificial intelligence and synthetic biology offers transformative opportunities to enhance global biosecurity. Emerging technologies promise rapid detection, containment, and mitigation of global biological threats, while simultaneously raising complex ethical and security challenges. This research aims to critically examine advances in AI applications for biosecurity, innovations in vaccine development enabled by synthetic biology, and the risks associated with the democratization of powerful biotechnological tools. We highlight both the potential and the dangers of integrating these technologies into public health preparedness systems and advocate for the establishment of robust governance frameworks to ensure their ethical and equitable implementation.

Indexed as

artificial intelligencebiosecurityemerging technologiesglobal preparednesspublic healthsynthetic biology

Identifiers

PMID40534823
PMCPMC12174072

What Socratic 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 Socratic graph.