Flywheel’s Top 5 Gears for Neurology Research
Learn five of the most-used algorithms by neurology researchers in Flywheel and why they're so invaluable for advancing neuroimaging research.
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How could automated neuroimaging data management free up your time? With Flywheel you can accelerate time-consuming processes, integrate with outside tools, and collaborate in new ways.
Learn five of the most-used algorithms by neurology researchers in Flywheel and why they're so invaluable for advancing neuroimaging research.
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Learn the top challenges in neurology research regarding imaging data management—and how researchers can solve them to enable new breakthroughs in brain sciences.
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Nicolas directs our team of scientific solutions engineers, working with clients from academia to life sciences to come up with custom solutions to their greatest imaging challenges.
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Learn how the TRACK-TBI Initiative uses Flywheel to securely capture, standardize and share terabytes of traumatic brain injury imaging data with collaborators at clinical trial sites nationwide.
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King’s College London and the Bill and Melinda Gates Foundation UNITY Project use Flywheel as a medical image sharing hub for international research into health outcomes and child brain development.
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Flywheel is the medical imaging data platform for a multi-institutional partnership sponsored by the National Institutes of Health, the INCLUDE project, to generate insight into pediatric disease.
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Led by King's College London, the Bill and Melinda Gates Foundation's UNITY Project includes research teams around the world who securely share medical images, using Flywheel as a data and AI hub.
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Flywheel has received a grant from the Gates Foundation to support research on neurodevelopment in low- and middle-income countries (LMICs).
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Read how 19 institutions are collaborating on Flywheel on the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study.
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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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With the Flywheel neuroinformatics platform, researchers developed a framework for translating magnetic resonance imaging (MRI) scientific findings into clinical practice.
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Dr. Maggie Mahan talks about curating BIDS data sets in Flywheel, exporting BIDS data sets, and analyzing BIDS data sets with Flywheel Gears. 1:16 What is Flywheel? 3:05 The BIDS Standard 5:45 BIDS C
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Stanford Medicine’s Brain Stimulation Lab uses Flywheel to automate clinical research workflows & manage large volumes of psychiatric data in its clinical trials on treatment-resistant depression.
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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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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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Precision neuroscience has the potential to revolutionize diagnosis, treatment, and rehabilitation for the growing incidence of traumatic brain injury (TBI). To pave the way for a new era of clinical
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In this conversation with Dr. Timothy Verstynen, Co-Director at the Carnegie Mellon University - University of Pittsburgh BRIDGE Center, hear how the Center addresses the problem of increasing data co
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Flywheel offers comprehensive support for Brain Imaging Data Structure (BIDS), including BIDS Conversion and Curation, BIDS Import, BIDS View, BIDS App Gears, and BIDS Export.
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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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