ARIA offers researchers a centralized solution for high throughput genomic, clinical, and health data analysis at the million+ participant scale. The unprecedented scalability of the solution enables users to manage and create cohorts and apply complex statistical analyses of their choosing, all within a connected and secure ecosystem.
Access to explore and analyze large genomic, clinical, and health datasets to create clinical trials and develop precision medicine is limited to bioinformaticians with scripting expertise in R or Python. These specialists are rarer to find which increases cost and slows down time to market for novel drug therapies in the Precision Health market.
Accelerate time to insights and reduce significant clinical trial and precision medicine costs for biopharma and research institutions by designing and building a product with a streamlined, intelligent visual interface. This interactive user experience will enable a wider array of researchers and analysts to explore, analyze, annotate, and share data insights at scale.
An interactive user experience tailored to the research needs of clinicians and analysts will enable the formation of novel scientific hypotheses while accelerating time to insights by expanding access to real-time, population scale genomics and health data exploration. We can improve health outcomes for patients in shorter timelines at lower costs by providing clinical researchers with a product that enables the exploration and analysis of genomic and health datasets via
Understand, design, and implement an interactive user interface that leverages the power of the existing custom client solutions including the cloud architecture, real-time processing performance, and computational experience (R studio/Jupyter). Deliver an off-the-shelf, configurable, platform product that significantly grows our user base from bioinformaticians to include clinical researchers thereby expanding our biopharma market share and providing cross-sell opportunities.
Service Design Workshops
Scientific & Clinical Stakeholder Collaboration
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