Demo: Flywheel Exchange
Flywheel Exchange is the data marketplace that allows you to identify more data for research, save time curating datasets, accelerate model development, and reduce bias with access to more data. Excha
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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.
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Enabling Brain Imaging Research Across the World: A Project Funded by the Bill and Melinda Gates Foundation
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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Diverse Datasets — How to Find, Curate & Leverage them to Fuel AI Research
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 and Reuse for Healthcare Innovation: Preparing for the NIH Mandate and Beyond
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] Enterprise-Scale Imaging Data Science: Future-Ready Strategies
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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Leveraging Imaging AI for Pharma Breakthroughs: What’s Next?
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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Federated Learning: A Different Type of House Call
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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FAIRifying Medical Imaging Data: Accelerating Large-Scale Data Initiatives
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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HIT Consultant: Transforming Healthcare with Medical Imaging AI
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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Federated learning project connects pharma with university to train AI model
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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Powering Secure Data Discovery Across a Global Network of Innovators: What Will It Take?
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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Drug Discovery & Development: How federated learning can enable faster, more accurate pharmaceutical-grade AI
Flywheel CEO Jim Olson wrote for Drug Discovery & Development on the potential of federated learning for improving pharma AI.
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