MediNet: simplifying federated and privacy-preserving AI deployment in healthcare
- DOI
- 10.1093/bioinformatics/btag742
- Published
- 2026-10
- Container
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/bioinformatics/btag742,
title = {MediNet: simplifying federated and privacy-preserving AI deployment in healthcare},
author = {Ramon Mateo-Navarro and David Sarrat-González and Dolors Pelegrí-Sisó and Xavier Escribà-Montagut and Fernando Sánchez-Lasheras and Juan R González},
year = {2026},
journal = {Bioinformatics},
doi = {10.1093/bioinformatics/btag742},
url = {https://doi.org/10.1093/bioinformatics/btag742}
}RIS
TY - JOUR TI - MediNet: simplifying federated and privacy-preserving AI deployment in healthcare AU - Ramon Mateo-Navarro AU - David Sarrat-González AU - Dolors Pelegrí-Sisó AU - Xavier Escribà-Montagut AU - Fernando Sánchez-Lasheras AU - Juan R González PY - 2026 JO - Bioinformatics DO - 10.1093/bioinformatics/btag742 UR - https://doi.org/10.1093/bioinformatics/btag742 ER -
APA
Mateo-Navarro, R., Sarrat-González, D., Pelegrí-Sisó, D., Escribà-Montagut, X., Sánchez-Lasheras, F., & González, J. R. (2026). MediNet: simplifying federated and privacy-preserving AI deployment in healthcare. Bioinformatics. https://doi.org/10.1093/bioinformatics/btag742
Source records
- crossref · retrieved 2026-11-06T23:27:20.578Z