Reimagining the Future of Biomedical Research
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Check out our article collection for insights from Flywheel on platform updates, how our users are tackling challenges in research data management, and more.
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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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At RSNA 2021, Flywheel debuted the new Flywheel Exchange platform, and showcased partnerships with Rhino Health and NVIDIA FLARE. The post Insights from RSNA 2021—Collaboration...
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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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Read our summary to get started on moving your neuroimaging research to the cloud. Contact Flywheel to simplify your next steps.
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Find out how the life sciences industry can accelerate digital transformation with an informatics platform for biomedical research.
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Flywheel supports a broad range of computational workflows, including working with existing pipelines, exploratory development, and automating routine processing.
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Flywheel supports computing on HPC clusters, in addition to more traditional virtual machine (VM)-based deployments in the cloud or on-premises.
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