Unifying genomic research with Databricks
Helix is accelerating the integration of genomics into healthcare. It is transforming how teams search through petabytes of clinical genomic data to pinpoint critical variants. As the company scaled, its research environment became fragmented. This made it harder to work efficiently across complex data and specialized tooling.
By moving to the Databricks Data + AI Platform, Helix chose a unified foundation designed to scale securely and efficiently. This supports genomic data integration alongside healthcare analytics and patient health records.
Empowering teams with AI-driven insights
With a centralized foundation in place, Helix can make genomic insights easier to access across teams, without requiring everyone to be an expert in complex data models. This shift supports faster discovery and more consistent decision-making as genomics becomes a standard part of care.
Simplifying data queries with Genie
Genie enables teams to query complex data models in natural language. This helps them extract insights more quickly without requiring deep expertise in data modeling.
Cost-effective genomic research model
With Unity Catalog, fine-grained access controls protect sensitive patient data. This supports strong data governance in healthcare while enabling broader use of governed data. This centralized approach supports Helix's cost-effective "sequence-once, query-often" approach. It also accelerates the rate of genomic discovery, therapeutic development and personalized healthcare decisions.
FAQ: Helix on Databricks
Helix needed to consolidate petabytes of clinical genomic data from a fragmented research environment, replacing niche tools and data silos with a secure, unified platform to accelerate research and genomic discovery.