Imagine having all your essential data seamlessly consolidated—harmonized, organized, and AI-ready at your fingertips. That’s the power of Atlases on Polly!
Biomedical R&D generates large amount of data annually and stores them in siloed repositories.
Siloed data is often inaccessible, unstructured, disorganized, and difficult to reuse.
Managing longitudinal patient data and tracking clinical trials is challenging without an effective data management system.
Patient-centric data management systems are hard to build and maintain as it requires multi-modal data harmonization and integration.
An Atlas is a collections of tables with a user defined schema. Designed to combine the flexibility and UX of spreadsheets with the scale, data integrity and query-ability of relational databases. Store, link & retrieve datasets of molecular and clinical data with less than 50 milli-sec latency.
Streamline data prep and accelerate time-to-insights.
Organized tabular layers integrate metadata, treatments, outcomes, and healthcare delivery details like claims and discharge summaries.
Atlases' flattened data model enables seamless exploration of complex clinical data, perfect for cohort creation and comparative analyses.
Linked structured and unstructured data ensure intuitive navigation, adhering to HIPAA guidelines for real-world data use.
Harmonized multi-site patient records support ML model training for predictive diagnostic and prognostic applications.
Harmonization Engine has been utilized by trained experts over millions of datasets across R&D Projects.
multi-modal data products (>10k samples each) developed in last 5 years.
Faster time to
analysis.
Faster in matching indications to targets with access to the right data.
of data wrangling saved across 20+ curation projects.
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