Preclinical Research

Multimodal, Extensible Data Management for Preclinical Research

Manage any complex object type to arrive at insights faster

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Standardize data and processes

Preclinical imaging enterprises are generating an ever-growing volume of standard and non-standard data types. Flywheel’s multimodal platform is extensible by design, giving researchers powerful tools to manage these data types. By standardizing ingestion, curation, and processing pipelines, Flywheel can accelerate preclinical imaging research and collaboration.

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Streamlined Data Management at a Preclinical Imaging Core

An oncology research center utilized Flywheel in its preclinical imaging core to store research data for labs using a variety of imaging modalities, including MR, CT, and PET. Flywheel allowed researchers to centralize and standardize their data, accelerating their precision medicine research, which combines molecular imaging, imaging biomarkers, and biological data.

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We work with the best in the field

  • Stanford University
  • Columbia University
  • University of Pennsylvania
  • Mount Sinai
  • Massachusetts General Hospital
  • Boston Children’s Hospital
  • University of North Carolina BRIC
  • University of Wisconsin-Madison
  • UCSF
  • University of Texas Health
  • St. Jude Children’s Hospital
  • University of Michigan
  • University of Southern California
  • University of California, Irvine
  • Carnegie Mellon University

Preclinical Research Data Management, Simplified

  • Flexible data model to manage any complex object type
  • Extensible, feature-rich viewer and flexible processing pipelines to manage even the most complex or non-standard data types generated by preclinical research modalities
  • Gear service to standardize and share pre- and post-processing pipelines; or ready-to-use Gears to accelerate common processes
  • Full provenance to ensure reproducibility

See How Flywheel Accelerates Preclinical Research

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