Evidence map›Paper›PMID 41640846›Full record

ArticleBlockchain in healthcare today2025

Trust By Design: Enabling Responsible Precision Health Through Blockchain-Powered Digital Twins And Trusted AI.

Ingrid Vasiliu-Feltes, Christina Yan Zhang, Stephen Dennis, Elliot Siegel, Daniel Uribe

Abstract read
In one paragraph

Article in Blockchain in healthcare today, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. A survey on ethical digital twins in healthcare.Frontiers in artificial intelligence · 2026
    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

5 authors.

Ingrid Vasiliu-FeltesInstitute SEI, USA.
Christina Yan ZhangThe Metaverse Institute, UK.ORCID https://orcid.org/0009-0008-3462-3245
Stephen DennisSofthread, USA.ORCID https://orcid.org/0009-0001-0470-8124
Daniel UribeGenobank.io, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Executive Session, Trust by Design: Enabling Responsible Precision Health through Blockchain-Powered Digital Twins and Trusted AI, explores how the convergence of blockchain, artificial intelligence, genomics, 6G wireless technology, and other advanced technologies can be leveraged to power precision health digital twins. The dialogue focused on governance, interoperability, cybersecurity, and the impact of blockchain and trusted AI-powered digital twins on advancing precision healthcare and personalized medicine. Use cases-for genomics, radiology, theranostics, and end-of-life care-illustrated both opportunities and barriers. Throughout the discussion, speakers emphasized the centrality of trust, patient sovereignty, and resilient infrastructures for the next generation of healthcare.

Indexed as

AIblockchaindigital twinsinteroperabilitypersonalized medicineprecision healthprivacystandardstrusted cybersecurity

Identifiers

PMID41640846
PMCPMC12865783

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.