Check out our article collection for insights from Flywheel on platform updates, how our users are tackling challenges in research data management, and more.
Medical imaging holds great potential in life sciences R&D, but it can be time-consuming to leverage. The right data management and computation tools can accelerate breakthroughs and improve outcomes.
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Dr. Peter McCaffrey at UTMB is leveraging Flywheel to enable research collaborations and make AI-ready data sets. Read the details of his unique approach.
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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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Read how Dr. Azeezat Azeez and her collaborators are using Flywheel to automate research workflows for Stanford Neuromodulation Therapy.
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The Yassa Lab at UC Irvine uses Flywheel as its data platform for a multicenter collaboration on biomarkers of Alzheimer's disease in Down syndrome. Its success has driven further adoption in the lab.
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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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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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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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To speed development of precision medicine, researchers need tools to reduce time spent on managing data and IT tasks so they can focus on analysis.
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Subtle Medical uses Flywheel, a research data management platform supporting medical image processing, medical image quality, and algorithm validation, to develop radiology AI.
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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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The Dornsife Neuroimaging Center uses Flywheel’s research data platform to support research productivity across the University of Southern California community.
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Flywheel makes biomedical study data easily accessible to all contributors to enable remote collaboration. We also offer scalable, cloud-based computation management. The post...
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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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Flywheel is built to facilitate reproducibility in biomedical research. This includes checking data quality and the computational steps that lead from the data to the findings.
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Simplify secure data collection from research partners and contract research organizations, curate to common standards, run analyses at scale, and more.
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