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Privacy-Enhancing Technologies in Biomedical Data Science. | LitMetric

Privacy-Enhancing Technologies in Biomedical Data Science.

Annu Rev Biomed Data Sci

Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA; email:

Published: August 2024

AI Article Synopsis

  • The rapid increase in biomedical data raises significant privacy issues, leading to the creation of data silos due to inadequate protection in traditional frameworks.
  • Privacy-enhancing technologies (PETs) offer solutions to safeguard sensitive data while allowing for analysis and sharing, thereby promoting broader usage in the field.
  • The review covers key applications of PETs, recent advancements, and highlights challenges and social factors that need to be addressed for wider acceptance in biomedical data science.

Article Abstract

The rapidly growing scale and variety of biomedical data repositories raise important privacy concerns. Conventional frameworks for collecting and sharing human subject data offer limited privacy protection, often necessitating the creation of data silos. Privacy-enhancing technologies (PETs) promise to safeguard these data and broaden their usage by providing means to share and analyze sensitive data while protecting privacy. Here, we review prominent PETs and illustrate their role in advancing biomedicine. We describe key use cases of PETs and their latest technical advances and highlight recent applications of PETs in a range of biomedical domains. We conclude by discussing outstanding challenges and social considerations that need to be addressed to facilitate a broader adoption of PETs in biomedical data science.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11346580PMC
http://dx.doi.org/10.1146/annurev-biodatasci-120423-120107DOI Listing

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