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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...

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Autores principales: 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
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
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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.
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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
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