Reducing Operational Costs in Medical Imaging Data Management
Learn several cost-saving strategies for managing medical imaging processes in research for life sciences and healthcare organizations.
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Browse these articles and videos to learn more about how Flywheel provides a compliant solution to accelerate imaging research for pharma, medical device, and other life science research.
Learn several cost-saving strategies for managing medical imaging processes in research for life sciences and healthcare organizations.
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View NowLearn the top challenges medical device manufacturers face with regard to medical imaging data management.
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See the features in our Audit Trail module that enable a user or organization to manage projects and create audit trail reports from Flywheel Core.
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Discover how medical technology organizations can harness the power of imaging data to unlock unprecedented potential.
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Learn how CD8 imaging can help identify effective combination immunotherapy for oncology and why a medical imaging platform can efficiently organize data for personalized medicine.
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In this white paper, we explore how organizations can follow 21 CFR Part 11 in clinical trials involving imaging data for submitting novel drug-based therapies and creating approvable, usable AI.
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In this talk, you’ll learn about medical imaging platforms that enable scientists to curate data for searchability, query data in place, collaborate in real-time, and track provenance to minimize code
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Flywheel has received a grant from the Gates Foundation to support research on neurodevelopment in low- and middle-income countries (LMICs).
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Medical imaging has the power to inform the next medical breakthrough. Advanced imaging solutions and AI model development require a unified, agile, secure, and collaborative framework spanning the en
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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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Flywheel Validated Core is a fully-documented 21 CFR Part 11 compliant environment that allows you to document SOP-defined workflows, create fully provenanced data sets and lock data.
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We use one platform to conduct a comparison of two deep learning liver and kidney segmentation models, revealing the importance of complete DICOM header curation to reduce segmentation errors.
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The growth of AI has raised expectations for good data management and data quality. Learn how to adapt to new standards of data tagging and medical imaging data integration.
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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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Is it counterproductive for drug developers to squander time and resources piecing together data management infrastructure for AI? Learn about data management realities that pose challenges to AI.
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See how Flywheel’s platform enables AI in pharma R&D for smarter use of large volumes of imaging & delves into the unique challenges in handling and curating data for model creation.
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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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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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