Efficient Use of Biological Data in the Web 3.0 Era by Applying Nonfungible Token Technology.

NFTs biobanks biomedical data blockchain platform blockchains development health care medical big data platform promoted sustainability tracing transformation virtual

Journal

Journal of medical Internet research
ISSN: 1438-8871
Titre abrégé: J Med Internet Res
Pays: Canada
ID NLM: 100959882

Informations de publication

Date de publication:
28 May 2024
Historique:
received: 01 02 2023
accepted: 24 03 2024
revised: 26 09 2023
medline: 28 5 2024
pubmed: 28 5 2024
entrez: 28 5 2024
Statut: epublish

Résumé

CryptoKitties, a trendy game on Ethereum that is an open-source public blockchain platform with a smart contract function, brought nonfungible tokens (NFTs) into the public eye in 2017. NFTs are popular because of their nonfungible properties and their unique and irreplaceable nature in the real world. The embryonic form of NFTs can be traced back to a P2P network protocol improved based on Bitcoin in 2012 that can realize decentralized digital asset transactions. NFTs have recently gained much attention and have shown an unprecedented explosive growth trend. Herein, the concept of digital asset NFTs is introduced into the medical and health field to conduct a subversive discussion on biobank operations. By converting biomedical data into NFTs, the collection and circulation of samples can be accelerated, and the transformation of resources can be promoted. In conclusion, the biobank can achieve sustainable development through "decentralization."

Identifiants

pubmed: 38805706
pii: v26i1e46160
doi: 10.2196/46160
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e46160

Informations de copyright

©Guanyi Wang, Chen Chen, Ziyu Jiang, Gang Li, Can Wu, Sheng Li. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 28.05.2024.

Auteurs

Guanyi Wang (G)

Department of Urology, Cancer Precision Diagnosis and Treatment and Translational Medicine Hubei Engineering Research Center, Zhongnan Hospital, Wuhan University, Wuhan, China.

Chen Chen (C)

Department of Urology, Cancer Precision Diagnosis and Treatment and Translational Medicine Hubei Engineering Research Center, Zhongnan Hospital, Wuhan University, Wuhan, China.

Ziyu Jiang (Z)

Department of Urology, Cancer Precision Diagnosis and Treatment and Translational Medicine Hubei Engineering Research Center, Zhongnan Hospital, Wuhan University, Wuhan, China.

Gang Li (G)

Department of Urology, Cancer Precision Diagnosis and Treatment and Translational Medicine Hubei Engineering Research Center, Zhongnan Hospital, Wuhan University, Wuhan, China.

Can Wu (C)

Department of Urology, Cancer Precision Diagnosis and Treatment and Translational Medicine Hubei Engineering Research Center, Zhongnan Hospital, Wuhan University, Wuhan, China.

Sheng Li (S)

Department of Urology, Cancer Precision Diagnosis and Treatment and Translational Medicine Hubei Engineering Research Center, Zhongnan Hospital, Wuhan University, Wuhan, China.

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Classifications MeSH