Advancing a new era of breakthrough biomedical discoveries.

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DNAstack Awarded as Technology Pioneer by World Economic Forum

    • The World Economic Forum announced its selection of the 100 most promising Technology Pioneers of 2022 – companies that are tackling issues from sustainability and climate change to healthcare and more.
    • This year’s cohort includes representation from 30 economies on six continents with reach far beyond traditional tech hubs like Silicon Valley.
    • DNAstack drives medical breakthroughs with its federated data discovery and analysis platform built on open standards. The company was selected for establishing federated data networks and powering insights in pandemic surveillance, neuroscience, rare disease, and oncology.

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Viral AI democratizes access to software for genomic surveillance and infectious disease research

- Dr. Marc Fiume, CEO at DNAstack

DNAstack Launches Viral AI, the First Federated Network for Genomic Variant Surveillance

DNAstack today announced Viral AI, a federated network for genomic variant surveillance and infectious disease research. Viral AI was designed to deliver equitable access to software infrastructure, accelerate international data sharing, and empower scientists and public health officials with globally representative datasets they need to mitigate current and future infectious disease outbreaks.

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Autism is complex and our research has demonstrated the value of connecting massive datasets to help us uncover critical genetic insights

- Dr. Stephen Scherer, Director of TCAG at SickKids

The Connection Demos are an enormous success for the members of the GA4GH

- Ewan Birney, Chair of GA4GH

Beacon Goes Global

Almost sixty percent of the human population resides in Asia and Africa, but only a fraction of the world’s human genomic sequencing efforts cover that community.

Beacon Project Cracks the Door for Genomic Data Sharing

Through its Data Working Group, GA4GH wants to replace many existing standards, conventions, and file formats with new ones that will scale to searching through genomes at the level of whole populations ― and, crucially, make it easier for separate organizations to share data.

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