Evidence map›Paper›PMID 38187956›Full record

ReviewBlockchain in healthcare today2023

Impact of Blockchain-Digital Twin Technology on Precision Health, Pharmaceutical Industry, and Life Sciences: Conference Proceedings, Conv2X 2023.

Ingrid Vasiliu-Feltes, Michael Mylrea, Christina Yan Zhang, Tyler-Cohen Wood, Brian Thornley

Abstract readReview
In one paragraph

Review in Blockchain in healthcare today, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. A survey on ethical digital twins in healthcare.Frontiers in artificial intelligence · 2026
    Review
  3. Article
  4. 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

5 authors.

Ingrid Vasiliu-FeltesUniversity of Miami, Coral Gables, Florida, USA.ORCID https://orcid.org/0000-0001-7276-354X
Michael MylreaUniversity of Miami, Coral Gables, Florida, USA.ORCID https://orcid.org/0009-0009-5717-3416
Christina Yan ZhangThe Metaverse Institute, London, UK.ORCID https://orcid.org/0009-0008-3462-3245
Tyler-Cohen WoodSupply Excellence, Innovation and Digital Strategy at MSD, Kenilworth, New Jersey, USA.
Brian ThornleySupply Excellence, Innovation and Digital Strategy at MSD, Kenilworth, New Jersey, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The convergence of Digital Twin technologies with precision health, the pharmaceutical industry, and life sciences has garnered substantial recent attention. As we advance toward personalized medicine and precision health, the fusion of Digital Twin and blockchain technologies is poised to enhance healthcare outcomes fundamentally. This conference discussion highlighted pivotal drivers accelerating the adoption of Digital Twin-enabled blockchain solutions, encompassing the shift to a decentralized World Wide Web (Web 3.0), the establishment of a global interconnected health ecosystem, and the distinct advantages offered by converging frontier technologies in optimizing healthcare, pharmaceutical industry, and life sciences. Yet, the effective deployment of blockchain-powered Digital Twins in precision health necessitates robust cyber safety measures, proactive ethical frameworks, data validation, provenance assurance, streamlined supply chain management, and heightened interoperability. These proceedings underscored blockchain-powered Digital Twins' pivotal role in reshaping health data management, security, sharing, ownership, and monetization and in revolutionizing pharmaceutical supply chain management and novel drugs and therapeutics development within the precision health domain.

Indexed as

blockchainclinical trialscybersecuritydigital twinsethicshealthcareoutcomespharmaceutical industrysupply chain

Identifiers

PMID38187956
PMCPMC10770801

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.