Boost your data volume and variety with a secure platform built for private data analysis.
Genomics has the potential to change the world of medicine. Genome-Wide Association Studies in particular are garnering investment from some of the biggest firms in the world, and can allow researchers to better understand the genetic bases of diseases and develop appropriate treatments.
However, successful GWAS rely heavily on large volumes of clinical and genetic data – often from multiple different providers – and on ensuring accurate results while at the same time protecting data privacy and security. In short, conducting GWAS presents both a logistical and privacy challenge.
Duality’s privacy-preserving collaboration platform enables genomic researchers to compute on large and disparate data sets up to 30x faster than using other computation methods.
Duality enables researchers to understand correlations between genotypes and phenotypes 30x faster than other methods, while preserving data privacy.
Researchers can use the Duality Platform to derive highly accurate insights without exposing any sensitive patient data – ever.
“Ongoing precision medicine studies can immediately benefit from these capabilities by enabling secure collaboration across clinical institutions without requiring complex data sharing agreements or compromising individual-level privacy. This technology can also empower patients to participate in research studies directly and receive personalized results knowing that their individual data will not be exposed.”
By simplifying the data analysis process, GWAS studies performed with Duality produce results up to 30x faster.
Using Fully Homomorphic Encryption (FHE), the Duality platform preserves the accuracy of the data without ever decrypting it.
Duality’s GWAS capabilities have been confirmed by researchers at Harvard Medical School and the Dana Farber Cancer Research Institute.
Conduct swift, safe analysis on data from multiple hospitals, institutions, research centers, and patient pools – including across borders.
Maximize the value of sensitive, regulated, or confidential data.