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Journal of Computer Science & Systems Biology

ISSN: 0974-7230

Open Access

Matthieu Claure

Department of Information Science, University of Calgary, Calgary, Canada

Publications
  • Mini Article   
    Exploring the Potential of Blockchain Technology for Secure and Efficient Sharing of Medical Data in Personalized Medicine
    Author(s): Matthieu Claure*

    Personalized medicine is an emerging approach that aims to provide customized healthcare solutions based on a patient's unique genetic makeup and health history. However, the success of personalized medicine relies heavily on the availability of accurate and comprehensive medical data. The sharing of such data is often hindered by concerns over privacy, security, and interoperability. Block chain technology has emerged as a potential solution to these challenges by enabling secure and efficient sharing of medical data among authorized parties. This paper explores the potential of block chain technology for the sharing of medical data in personalized medicine. It examines the advantages of block chain technology, the challenges of implementing it in healthcare, and the potential use cases of block chain technology in personalized medicine... Read More»
    DOI: 10.37421/0974-7230.2023.16.453

    Abstract HTML PDF

Google Scholar citation report
Citations: 2279

Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report

Journal of Computer Science & Systems Biology peer review process verified at publons

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