Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption

Using real-world evidence in biomedical research, an indispensable complement to clinical trials, requires access to large quantities of patient data that are typically held separately by multiple healthcare institutions. We propose FAMHE, a novel federated analytics system that, based on multiparty...

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Detalles Bibliográficos
Autores principales: Froelicher, David, Troncoso-Pastoriza, Juan R., Raisaro, Jean Louis, Cuendet, Michel A., Sousa, Joao Sa, Cho, Hyunghoon, Berger, Bonnie, Fellay, Jacques, Hubaux, Jean-Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505638/
https://www.ncbi.nlm.nih.gov/pubmed/34635645
http://dx.doi.org/10.1038/s41467-021-25972-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8505638/
https://www.ncbi.nlm.nih.gov/pubmed/34635645
http://dx.doi.org/10.1038/s41467-021-25972-y

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