Check out our resources relating to Flywheel Enterprise, our platform for biomedical research data management.
The University of Texas Medical Branch has implemented a platform for streamlining the creation of radiology and pathology datasets, enabling more efficient collaborations.
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Diverse Datasets: How to Find, Curate & Leverage them to Fuel AI Research
Flywheel is the revolutionary research data management platform powering healthcare innovation by accelerating collaboration, enabling machine learning, and streamlining the massive task of data aggre
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Data sharing is now an urgent matter for NIH-funded researchers, with new mandates going into effect in January 2023. Learn about tools for complying, plus optimizing data for sharing and reuse.
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Get a glimpse of our comprehensive data management solution for imaging research. Automate data capture and de-identification, store annotations as searchable metadata, scale computation, and more.
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The FAIR Data principles are accelerating drug design, clinical trials, and AI efforts. But working with complex data requires unique solutions. Learn how to implement FAIR across large enterprises.
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Flywheel's powerful Advanced Search capability allows users to construct complex queries and quickly pinpoint the data they need.
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There are three ways you can import imaging research data into Flywheel. Read this quick overview, and contact us for custom advice on your situation.
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Multi-reader studies bring unique workflow requirements to optimize data capture. Flywheel gives researchers custom configuration options.
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Dr. Peter McCaffrey at UTMB is leveraging Flywheel to enable research collaborations and make AI-ready data sets. Read the details of his unique approach.
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Experts from pharma, medical device, and research backgrounds discuss how organizations can accelerate pharma innovation by breaking down data silos.
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Precision neuroscience has the potential to revolutionize diagnosis, treatment, and rehabilitation for the growing incidence of traumatic brain injury (TBI). To pave the way for a new era of clinical
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As an industry leader working with clinical, academic and life sciences research organizations, Flywheel can help you access and organize clinical data to accelerate your AI and precision care strateg
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If you’re curious about how Flywheel’s openness and extensibility can come to life in the hands of a power user, don’t miss this chat with Anisha Keshavan, senior data scientist at Octave Bioscience.
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Data management and the ability to search across all types of objects enhance the value of the data. Read how Flywheel supports finding and reuse of data.
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Read how Dr. Azeezat Azeez and her collaborators are using Flywheel to automate research workflows for Stanford Neuromodulation Therapy.
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Flywheel supports the FAIR data principles—making data findable, accessible, interoperable, and reusable. Read how our platform helps researchers.
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The Yassa Lab at UC Irvine uses Flywheel as its data platform for a multicenter collaboration on biomarkers of Alzheimer's disease in Down syndrome. Its success has driven further adoption in the lab.
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Flywheel is committed to supporting reproducible research computations. We make many software design decisions guided by this commitment.
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