Google Cloud Platform Blog: Personalized medicine with Northrop Grumman and Google Cloud Platform

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Personalized medicine with Northrop Grumman and Google Cloud Platform

Tuesday, March 24, 2015

Northrop GrummanGoogle Cloud PlatformGoogle GenomicsGoogle BigQuery The Architecture

Massive Data Storage: A storage layer leverages Google Genomics to efficiently store and access genomic data on the petabyte scale and Northrop Grumman knowledge engines and framework to efficiently process and store electronic health records (EHR) data.

Annotation Layer: The annotation layer provides tools to extract clinical knowledge from structured and unstructured EHR data sources. It also includes a database containing aggregated phenotypic and disease associations from public sources. These enable improved functional annotation of the genomic data.

Analytics Layer: The analytics layer is built on top of Google BigQuery and Google Compute Engine to provide high-performance modeling and analytics tools. With these, we can demonstrate genomic risk modeling with analysis time scales of only several seconds.

Visualization & Collaboration Layer: The visualization and collaboration layer provides a framework for high-level analytics, visualization, and collaboration tools.

The system architecture for Northrop Grumman’s personalized health analytics platform. A layered approach is designed to provide an integrated research environment with greater access to storage infrastructure, improved information extraction and annotation tools, more powerful computational platforms and improved collaboration and visualization tools.