Reimagining the Future of Biomedical Research
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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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Diverse Datasets: How to Find, Curate & Leverage them to Fuel AI Research -
Top 5 Reasons Your Life Sciences Organization Needs Modern Medical Imaging Infrastructure
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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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Flywheel Enterprise Demo
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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Transforming R&D in a Data-Driven Life Sciences Organization
Flywheel’s cloud-scale data management and collaboration platform is being leveraged today by large pharmaceutical companies. We have integrated our multi-modality imaging platform into the digital ec
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Flywheel for Life Sciences: Product Sheet
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Ensuring Data Security and Accessibility in Biomedical Research with Flywheel
Flywheel allows secure collaboration on biomedical data while reducing data security risks. Our data procedures and systems meet the highest standards.
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Breaking Down Research Data Silos for Accelerated Innovation
Experts from pharma, medical device, and research backgrounds discuss how organizations can accelerate pharma innovation by breaking down data silos.
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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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Drug Discovery & Development: Fueling breakthroughs in pharma AI: 3 critical factors
Check out our article for Drug Discovery & Development calling on our experts' real-world experience with digital transformation and how pharma companies can be successful with AI.
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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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Expanded, Multimodal De-Identification Tool Suite
Flywheel de-identifies biomedical research data as it is captured, outside of the platform, giving researchers rapid access only to the information they need.
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5 Common Data Management Problems Affecting Drug Discovery
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Designing Custom Multi-Reader Studies is Streamlined with Robust Viewer Configuration Options
Multi-reader studies bring unique workflow requirements to optimize data capture. Flywheel gives researchers custom configuration options.
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3 Ways to Import Your Imaging Research Data into Flywheel
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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Flywheel Exchange Product Sheet
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Inside the Mind of a Data Scientist: Anisha Keshavan
If you’re curious about how Flywheel’s openness and extensibility can come to life in the hands of a power user, don’t miss this chat with Anisha Keshavan, senior data scientist at Octave Bioscience.
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Advanced Search for Finding and Repurposing Data
Flywheel's powerful Advanced Search capability allows users to construct complex queries and quickly pinpoint the data they need.
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Smart Copy helps Flywheel sites share and manage data more efficiently
Flywheel’s Smart Copy feature gives users options for sharing and reusing data and analysis while minimizing storage use.
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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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