Insights on Research Data Management
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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Oct. 26:
Leveraging Next-Generation Tools for Enterprise-Level Data Set Creation
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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Nov. 10:
Leveraging Imaging AI for Pharma Breakthroughs: What’s Next?
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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View NowMulti-reader studies bring unique workflow requirements to optimize data capture. Flywheel gives researchers custom configuration options.
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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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Experts from pharma, medical device, and research backgrounds discuss how organizations can accelerate pharma innovation by breaking down data silos.
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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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Stanford Medicine’s Brain Stimulation Lab is managing large volumes of complex psychiatric data in its research and clinical trials on treatment-resistant depression. In this webinar, Dr. Azeezat Azee
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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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Read how Dr. Azeezat Azeez and her collaborators are using Flywheel to automate research workflows for Stanford Neuromodulation Therapy.
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Flywheel’s Smart Copy feature gives users options for sharing and reusing data and analysis while minimizing storage use.
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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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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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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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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 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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Flywheel accelerates ophthalmological imaging research through a suite of optical coherence tomography (OCT) annotation tools and customization options.
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