SCOR: A secure international informatics infrastructure to investigate COVID-19

J. L. Raisaro, Francesco Marino, Juan Troncoso-Pastoriza, Raphaelle Beau-Lejdstrom, Riccardo Bellazzi, Robert Murphy, Elmer V. Bernstam, Henry Wang, Mauro Bucalo, Yong Chen, Assaf Gottlieb, Arif Harmanci, Miran Kim, Yejin Kim, Jeffrey Klann, Catherine Klersy, Bradley A. Malin, Marie Meán, Fabian Prasser, Luigia ScudellerAli Torkamani, Julien Vaucher, Mamta Puppala, Stephen T.C. Wong, Milana Frenkel-Morgenstern, Hua Xu, Baba Maiyaki Musa, Abdulrazaq G. Habib, Trevor Cohen, Adam Wilcox, Hamisu M. Salihu, Heidi Sofia, Xiaoqian Jiang, J. P. Hubaux

Research output: Contribution to journalArticlepeer-review

24 Scopus citations


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.

Original languageEnglish
Pages (from-to)1721-1726
Number of pages6
JournalJournal of the American Medical Informatics Association
Issue number11
StatePublished - Nov 1 2020


  • COVID-19
  • federated learning
  • healthcare privacy
  • international consortium
  • secure data analysis


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