Cross-Institutional data collaboration has several challenges, data privacy being the most critical.
How can large amounts of data from different entities be pooled together, privately and securely, to provide the basis for accurate data discovery and analysis?
See how the Dana-Farber Cancer Institute, an affiliate of the Harvard Medical School, utilized the Duality platform for their Genome Wide Association Studies (GWAS) for:
- Analyses on fully encrypted data, preserving privacy every step of the way
- Scalability that enabled 100,000+ data sets to be analyzed rapidly
- Quicker approval process with legal teams in participating entities, since all data is encrypted
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