Check out our resources relating to Flywheel Core, our platform for biomedical research data management.
Flywheel is the medical imaging data platform for a multi-institutional partnership sponsored by the National Institutes of Health, the INCLUDE project, to generate insight into pediatric disease.
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Organize, label, and annotate medical imaging to create analysis-ready datasets for trustworthy imaging AI.
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Led by King's College London, the Bill and Melinda Gates Foundation's UNITY Project includes research teams around the world who securely share medical images, using Flywheel as a data and AI hub.
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We discuss how to build reliable, scalable solutions that integrate advanced AI technology and enable robust imaging data management and analysis.
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Watch this webinar to gain insights from real-world pharma use cases to unlock the potential of AI. We demystify the process of labeling and annotating medical images. Learn how to efficiently guide e
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Learn how pharma researchers are accessing and efficiently leveraging diverse datasets to take advantage of the AI boom in R&D. This video covers strategies for maximizing internal and external data.
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Flywheel is the pioneering medical imaging AI development platform powering healthcare innovation through streamlined data management, curation and analysis. Flywheel helps organizations turn complex
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Learn how Flywheel streamlined data access at an imaging core studying cancer biomarkers and multimodal imaging.
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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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Take a look at Flywheel's robust and fully customizable framework for designing and orchestrating reader studies. Our video shows an oncology reader study example.
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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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Medical imaging holds a wealth of valuable data that can power pharma R&D. See how pharma leaders are harnessing this data with scalable tools, and the fundamentals for success.
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This article from Drug Discovery & Development explains how pharma research teams can unite legacy data, including imaging data, to better characterize disease mechanisms and therapeutic responses.
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Listen to our 2022 RSNA panel discussion among experts in data science, governance, hardware, and software to learn how organizations are building smart data frameworks to power research.
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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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The NIH data management and sharing mandates are now in effect. Flywheel offers a complete, enterprise-scale solution for governance and compliance with DMS policies.
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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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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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Medical imaging holds great potential in life sciences R&D, but it can be time-consuming to leverage. The right data management and computation tools can accelerate breakthroughs and improve outcomes.
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Flywheel’s experts look at the state of medical imaging workflows and reader studies and discuss how annotation and labeling can work at scale in life science R&D. Click to watch the full webinar.
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