Flywheel Exchange Demo
Introducing our new global network for data sharing and analysis, Flywheel Exchange. Connect with researchers around the world to browse and share data, identify collaborators for projects, and levera
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Flywheel Exchange is our global network for data sharing and analysis. Learn more about how you can use it to browse data, identify collaborators for projects, and leverage federated analytics and federated learning.
Introducing our new global network for data sharing and analysis, Flywheel Exchange. Connect with researchers around the world to browse and share data, identify collaborators for projects, and levera
Watch Video
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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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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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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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Hear experts from Flywheel and NVIDIA discuss the latest in imaging AI, and how pharma organizations are taking advantage of state-of-the-art tech. How can AI take pharma to the next level?
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Flywheel's medical director, Aaron Mintz, spoke with Radiology Today about how federated learning holds promise to accelerate breast imaging AI research and improve patient outcomes.
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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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Read insights from our Chief Strategist, Travis Richardson, in HIT Consultant. Travis discusses how organizations need tools that help find, cleanse, and organize data to fuel AI breakthroughs.
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Read how Flywheel facilitated a federated learning project between a pharma company and a university with an AI model trained on x-ray data.
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Getting your hands on diverse, secure data in volumes needed to build robust AI algorithms is notoriously difficult. And it stymies innovation. Thankfully, times are changing. In this webinar, Jim O
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Flywheel CEO Jim Olson wrote for Drug Discovery & Development on the potential of federated learning for improving pharma AI.
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