Insights on Research Data Management
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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March 28:
Streamlining Reader Workflows to Enable AI-Scale Imaging Research
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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Administering reader workflows for annotation has traditionally been a challenge. Join Flywheel’s experts for a look at how annotation and labeling can work at scale in life sciences organizations.
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Check out our on-demand webinars
View NowListen 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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Multi-reader studies bring unique workflow requirements to optimize data capture. Flywheel gives researchers custom configuration options.
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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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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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The University of Texas Medical Branch has implemented a platform for streamlining the creation of radiology and pathology datasets, enabling more efficient collaborations.
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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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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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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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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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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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