Privacy-Enhancing Technologies in Biomedical Data Science

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) promis...

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Vydané v:Annual review of biomedical data science Ročník 7; číslo 1; s. 317
Hlavní autori: Cho, Hyunghoon, Froelicher, David, Dokmai, Natnatee, Nandi, Anupama, Sadhuka, Shuvom, Hong, Matthew M, Berger, Bonnie
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States 01.08.2024
Predmet:
Biomedical Research
Computer Security
Confidentiality - ethics
Data Science - methods
Humans
Information Dissemination - methods
Privacy
genomic privacy
biomedical data privacy
privacy-enhancing technologies
collaborative studies
data sharing
secure computation
ISSN:2574-3414, 2574-3414
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Popis
Shrnutí: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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ISSN:2574-3414
2574-3414
DOI:10.1146/annurev-biodatasci-120423-120107