Collaborative privacy-preserving analysis of oncological data using multiparty homomorphic encryption

Real-world healthcare data sharing is instrumental in constructing broader-based and larger clinical datasets that may improve clinical decision-making research and outcomes. Stakeholders are frequently reluctant to share their data without guaranteed patient privacy, proper protection of their data...

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Detalles Bibliográficos
Autores principales: Geva, Ravit, Gusev, Alexander, Polyakov, Yuriy, Liram, Lior, Rosolio, Oded, Alexandru, Andreea, Genise, Nicholas, Blatt, Marcelo, Duchin, Zohar, Waissengrin, Barliz, Mirelman, Dan, Bukstein, Felix, Blumenthal, Deborah T., Wolf, Ido, Pelles-Avraham, Sharon, Schaffer, Tali, Lavi, Lee A., Micciancio, Daniele, Vaikuntanathan, Vinod, Badawi, Ahmad Al, Goldwasser, Shafi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437415/
https://www.ncbi.nlm.nih.gov/pubmed/37549296
http://dx.doi.org/10.1073/pnas.2304415120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437415/
https://www.ncbi.nlm.nih.gov/pubmed/37549296
http://dx.doi.org/10.1073/pnas.2304415120

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