{"title":"Artificial intelligence and blockchain in clinical trials: enhancing data governance efficiency, integrity, and transparency.","authors":"Víctor Leiva, Cecilia Castro","doi":"10.1080/17576180.2025.2452774","DOIUrl":null,"url":null,"abstract":"<p><p>This article examines the transformative potential of blockchain technology and its integration with artificial intelligence (AI) in clinical trials, focusing on their combined ability to enhance integrity, operational efficiency, and transparency in the data governance. Through an in-depth analysis of recent advancements, the article highlights how blockchain and AI address critical challenges, including patient data privacy, regulatory compliance, and security. The article also identifies key barriers to adoption in the mentioned integration, such as scalability limitations, association with existing healthcare systems, and high implementation costs. By presenting a comprehensive overview of the current research and proposing strategic directions, this work emphasizes how the synergy between blockchain and AI can revolutionize clinical trials through process automation, improved stakeholder trust, and robust transparency.</p>","PeriodicalId":8797,"journal":{"name":"Bioanalysis","volume":" ","pages":"161-176"},"PeriodicalIF":1.8000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11853625/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioanalysis","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17576180.2025.2452774","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/23 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
This article examines the transformative potential of blockchain technology and its integration with artificial intelligence (AI) in clinical trials, focusing on their combined ability to enhance integrity, operational efficiency, and transparency in the data governance. Through an in-depth analysis of recent advancements, the article highlights how blockchain and AI address critical challenges, including patient data privacy, regulatory compliance, and security. The article also identifies key barriers to adoption in the mentioned integration, such as scalability limitations, association with existing healthcare systems, and high implementation costs. By presenting a comprehensive overview of the current research and proposing strategic directions, this work emphasizes how the synergy between blockchain and AI can revolutionize clinical trials through process automation, improved stakeholder trust, and robust transparency.
BioanalysisBIOCHEMICAL RESEARCH METHODS-CHEMISTRY, ANALYTICAL
CiteScore
3.30
自引率
16.70%
发文量
88
审稿时长
2 months
期刊介绍：
Reliable data obtained from selective, sensitive and reproducible analysis of xenobiotics and biotics in biological samples is a fundamental and crucial part of every successful drug development program. The same principles can also apply to many other areas of research such as forensic science, toxicology and sports doping testing.
The bioanalytical field incorporates sophisticated techniques linking sample preparation and advanced separations with MS and NMR detection systems, automation and robotics. Standards set by regulatory bodies regarding method development and validation increasingly define the boundaries between speed and quality.
Bioanalysis is a progressive discipline for which the future holds many exciting opportunities to further reduce sample volumes, analysis cost and environmental impact, as well as to improve sensitivity, specificity, accuracy, efficiency, assay throughput, data quality, data handling and processing.
The journal Bioanalysis focuses on the techniques and methods used for the detection or quantitative study of analytes in human or animal biological samples. Bioanalysis encourages the submission of articles describing forward-looking applications, including biosensors, microfluidics, miniaturized analytical devices, and new hyphenated and multi-dimensional techniques.
Bioanalysis delivers essential information in concise, at-a-glance article formats. Key advances in the field are reported and analyzed by international experts, providing an authoritative but accessible forum for the modern bioanalyst.
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