Unite imaging and associated data across your enterprise with a FAIR-friendly data framework that helps you standardize how data is captured and shared. With Flywheel, your drug discovery and AI development is scalable, reproducible and efficient.
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The FAIR principles seek to ensure that data is Findable, Accessible, Interoperable, and Reusable. To enact the FAIR principles, pharmaceutical organizations need to consolidate data from different locations, ensure compliance with privacy and security regulations, unite diverse data types, and standardize and label it. This can take up to 80% of data scientists’ time.Â
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Flywheel can help you establish a single source of truth for imaging and related metadata.
Ensure data is findable by indexing metadata that describes your images, to enable easier cohorting and intuitive dashboards
Make images accessible in a searchable, centralized repository, and leverage Flywheel’s integral governance for effective collaboration
Make data interoperable through curation and annotation using Flywheel’s versioned Gears and controlled projects
Be confident in reusing your data assets as the Flywheel platform traces and tracks all the steps that produce your final output
Flywheel Core has been integrated by Roche and Genentech, a member of the Roche Group, for ingestion, classification, standardization, curation and analysis of medical imaging data.
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