Evidence map›Paper›PMID 42080475›Full record

ArticleEthics & human research

Digital Twins in Translational Research and Health Care: An Anthropological Perspective.

Jennifer K Wagner

Abstract read
In one paragraph

Article in Ethics & human research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Jennifer K WagnerAssistant professor of law, policy, and engineering and anthropology at Penn State University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this essay, I consider the "social life" of digital twins in translational medicine, exploring how the United States is culturally unprepared for the arrival of digital twins at whole person scales. By looking more closely at our anticipated individual and collective interactions with digital twins for biomedical research and health care purposes, I attempt to highlight how our current approach to biomedical innovation could impede the realization of precision medicine rather than enable it. Extensive translational bioethics research-including specifically more deliberate anthroengineering research-is urgently needed so that we can better understand how these dynamic, data intensive, artificial intelligence-enabled technologies can be responsibly developed, organized, and engaged, and so that we can co-create the necessary cultural conditions for us all to thrive.

Indexed as

Artificial IntelligenceDelivery of Health CarePrecision MedicineTranslational Research, BiomedicalTwinsDigital HealthHumansUnited Statesartificial intelligencebioethicsdigital healthdigital twinsdignityprecision medicineprivacyresearch ethics

Identifiers

PMID42080475
PMCPMC13137930

What OpenQuestion holds

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LicenceCC BY
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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.