Cargando…
SCOR: A secure international informatics infrastructure to investigate COVID-19
Global pandemics call for large and diverse healthcare data to study various risk factors, treatment options, and disease progression patterns. Despite the enormous efforts of many large data consortium initiatives, scientific community still lacks a secure and privacy-preserving infrastructure to s...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7454652/ https://www.ncbi.nlm.nih.gov/pubmed/32918447 http://dx.doi.org/10.1093/jamia/ocaa172 |
_version_ | 1783575517985767424 |
---|---|
author | Raisaro, J L Marino, Francesco Troncoso-Pastoriza, Juan Beau-Lejdstrom, Raphaelle Bellazzi, Riccardo Murphy, Robert Bernstam, Elmer V Wang, Henry Bucalo, Mauro Chen, Yong Gottlieb, Assaf Harmanci, Arif Kim, Miran Kim, Yejin Klann, Jeffrey Klersy, Catherine Malin, Bradley A Méan, Marie Prasser, Fabian Scudeller, Luigia Torkamani, Ali Vaucher, Julien Puppala, Mamta Wong, Stephen T C Frenkel-Morgenstern, Milana Xu, Hua Musa, Baba Maiyaki Habib, Abdulrazaq G Cohen, Trevor Wilcox, Adam Salihu, Hamisu M Sofia, Heidi Jiang, Xiaoqian Hubaux, J P |
author_facet | Raisaro, J L Marino, Francesco Troncoso-Pastoriza, Juan Beau-Lejdstrom, Raphaelle Bellazzi, Riccardo Murphy, Robert Bernstam, Elmer V Wang, Henry Bucalo, Mauro Chen, Yong Gottlieb, Assaf Harmanci, Arif Kim, Miran Kim, Yejin Klann, Jeffrey Klersy, Catherine Malin, Bradley A Méan, Marie Prasser, Fabian Scudeller, Luigia Torkamani, Ali Vaucher, Julien Puppala, Mamta Wong, Stephen T C Frenkel-Morgenstern, Milana Xu, Hua Musa, Baba Maiyaki Habib, Abdulrazaq G Cohen, Trevor Wilcox, Adam Salihu, Hamisu M Sofia, Heidi Jiang, Xiaoqian Hubaux, J P |
author_sort | Raisaro, J L |
collection | PubMed |
description | Global pandemics call for large and diverse healthcare data to study various risk factors, treatment options, and disease progression patterns. Despite the enormous efforts of many large data consortium initiatives, scientific community still lacks a secure and privacy-preserving infrastructure to support auditable data sharing and facilitate automated and legally compliant federated analysis on an international scale. Existing health informatics systems do not incorporate the latest progress in modern security and federated machine learning algorithms, which are poised to offer solutions. An international group of passionate researchers came together with a joint mission to solve the problem with our finest models and tools. The SCOR Consortium has developed a ready-to-deploy secure infrastructure using world-class privacy and security technologies to reconcile the privacy/utility conflicts. We hope our effort will make a change and accelerate research in future pandemics with broad and diverse samples on an international scale. |
format | Online Article Text |
id | pubmed-7454652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74546522020-08-31 SCOR: A secure international informatics infrastructure to investigate COVID-19 Raisaro, J L Marino, Francesco Troncoso-Pastoriza, Juan Beau-Lejdstrom, Raphaelle Bellazzi, Riccardo Murphy, Robert Bernstam, Elmer V Wang, Henry Bucalo, Mauro Chen, Yong Gottlieb, Assaf Harmanci, Arif Kim, Miran Kim, Yejin Klann, Jeffrey Klersy, Catherine Malin, Bradley A Méan, Marie Prasser, Fabian Scudeller, Luigia Torkamani, Ali Vaucher, Julien Puppala, Mamta Wong, Stephen T C Frenkel-Morgenstern, Milana Xu, Hua Musa, Baba Maiyaki Habib, Abdulrazaq G Cohen, Trevor Wilcox, Adam Salihu, Hamisu M Sofia, Heidi Jiang, Xiaoqian Hubaux, J P J Am Med Inform Assoc Brief Communications Global pandemics call for large and diverse healthcare data to study various risk factors, treatment options, and disease progression patterns. Despite the enormous efforts of many large data consortium initiatives, scientific community still lacks a secure and privacy-preserving infrastructure to support auditable data sharing and facilitate automated and legally compliant federated analysis on an international scale. Existing health informatics systems do not incorporate the latest progress in modern security and federated machine learning algorithms, which are poised to offer solutions. An international group of passionate researchers came together with a joint mission to solve the problem with our finest models and tools. The SCOR Consortium has developed a ready-to-deploy secure infrastructure using world-class privacy and security technologies to reconcile the privacy/utility conflicts. We hope our effort will make a change and accelerate research in future pandemics with broad and diverse samples on an international scale. Oxford University Press 2020-07-10 /pmc/articles/PMC7454652/ /pubmed/32918447 http://dx.doi.org/10.1093/jamia/ocaa172 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Brief Communications Raisaro, J L Marino, Francesco Troncoso-Pastoriza, Juan Beau-Lejdstrom, Raphaelle Bellazzi, Riccardo Murphy, Robert Bernstam, Elmer V Wang, Henry Bucalo, Mauro Chen, Yong Gottlieb, Assaf Harmanci, Arif Kim, Miran Kim, Yejin Klann, Jeffrey Klersy, Catherine Malin, Bradley A Méan, Marie Prasser, Fabian Scudeller, Luigia Torkamani, Ali Vaucher, Julien Puppala, Mamta Wong, Stephen T C Frenkel-Morgenstern, Milana Xu, Hua Musa, Baba Maiyaki Habib, Abdulrazaq G Cohen, Trevor Wilcox, Adam Salihu, Hamisu M Sofia, Heidi Jiang, Xiaoqian Hubaux, J P SCOR: A secure international informatics infrastructure to investigate COVID-19 |
title | SCOR: A secure international informatics infrastructure to investigate COVID-19 |
title_full | SCOR: A secure international informatics infrastructure to investigate COVID-19 |
title_fullStr | SCOR: A secure international informatics infrastructure to investigate COVID-19 |
title_full_unstemmed | SCOR: A secure international informatics infrastructure to investigate COVID-19 |
title_short | SCOR: A secure international informatics infrastructure to investigate COVID-19 |
title_sort | scor: a secure international informatics infrastructure to investigate covid-19 |
topic | Brief Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7454652/ https://www.ncbi.nlm.nih.gov/pubmed/32918447 http://dx.doi.org/10.1093/jamia/ocaa172 |
work_keys_str_mv | AT raisarojl scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT marinofrancesco scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT troncosopastorizajuan scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT beaulejdstromraphaelle scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT bellazziriccardo scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT murphyrobert scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT bernstamelmerv scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT wanghenry scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT bucalomauro scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT chenyong scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT gottliebassaf scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT harmanciarif scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT kimmiran scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT kimyejin scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT klannjeffrey scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT klersycatherine scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT malinbradleya scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT meanmarie scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT prasserfabian scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT scudellerluigia scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT torkamaniali scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT vaucherjulien scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT puppalamamta scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT wongstephentc scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT frenkelmorgensternmilana scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT xuhua scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT musababamaiyaki scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT habibabdulrazaqg scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT cohentrevor scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT wilcoxadam scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT salihuhamisum scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT sofiaheidi scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT jiangxiaoqian scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 AT hubauxjp scorasecureinternationalinformaticsinfrastructuretoinvestigatecovid19 |