Accelerate MedTech Innovation and Efficiency with Flywheel
Discover how medical technology organizations can harness the power of imaging data to unlock unprecedented potential.
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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.
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Flywheel Audit Trail Module Demo
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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How Imaging Can Drive More Effective Combination Immunotherapy in Oncology
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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Why You Need a Validated Imaging Data Management Solution
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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Activating Medical Imaging in the Biopharmaceutical Industry
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 for Oncology Research
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Flywheel and NVIDIA MONAI Toolkit: One Seamless Platform for Scalable AI Development
Flywheel and NVIDIA offer a streamlined AI Factory for medical imaging that is revolutionizing digital health and drug development. In this demo, learn how you can find datasets in Flywheel Exchange a
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Model Development in Flywheel
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Flywheel to Serve as Research Platform for Understanding Pediatric Brain Development in Low- and Middle-Income Countries
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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Accelerating Medical Imaging Research and Innovation in the Biopharmaceutical Industry | BioITWorld
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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Accelerated Drug Development through Scalable AI-Powered Medical Imaging
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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Demo Video: Flywheel for Oncology Research
Chapters: 0:00 Introduction 0:10 Data Exchange 0:34 Data Import 0:51 Gears & Gear Rules 1:11 Reader Studies 1:55 ML Workspaces 2:06 Model Training 3:04 Outro
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Demo: Flywheel Validated Core
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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Flywheel for Oncology Demo: Developing AI Classification of Breast Cancer Risk
Flywheel's medical imaging data and AI platform accelerates research by helping you curate analysis-ready data. In this video, we demonstrate testing a trained classification model on mammograms to ca
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Flywheel for Reader Workflows
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Algorithm Bake-Off: Comparing AI Algorithms for CT Segmentation with Flywheel Data Exchange and Jupyter Notebooks
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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Genetic Engineering & Biotechnology News: Manage Data Better or Die
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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AI in Medical Imaging: Streamlining Reader Workflows for Expedited Model Development
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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Drug Discovery & Development: Opportunities and obstacles with ML and AI development
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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Tackling the Challenges of Imaging-Based AI in Pharma R&D
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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