We recently had the pleasure of attending the 2024 ISMRM & ISMRT Annual Meeting & Exhibition in Singapore, where we presented on accelerating MRI scan classification and improving access to neuroimaging and computational resources in low-resource settings, in partnership with the Bill and Melinda Gates Foundation. Looking forward to next year!
Flywheel.io
Data Infrastructure and Analytics
Minneapolis, Minnesota 5,414 followers
The Medical Imaging AI Development Platform
About us
Flywheel is pioneering the future of medical imaging data management and analysis. We enable a world where every healthcare decision is informed, precise, impactful and leverages the power of trustworthy AI. The Flywheel platform empowers healthcare professionals, researchers, and innovators to access and curate medical imaging data for the development of cutting-edge imaging algorithms that accelerate biomarker discovery and deliver advances in patient outcomes.
- Website
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https://flywheel.io
External link for Flywheel.io
- Industry
- Data Infrastructure and Analytics
- Company size
- 51-200 employees
- Headquarters
- Minneapolis, Minnesota
- Type
- Privately Held
- Specialties
- Informatics, Machine Learning, Medical Research, Image Data, Data Security, Radiology Science, Biomedical Research, Data Management, Bioinformatics, and Imaging Informatics
Locations
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Primary
1015 Glenwood Ave
Floor 3
Minneapolis, Minnesota 55405, US
Employees at Flywheel.io
Updates
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Watch: Our recent webinar with Becker's Healthcare discusses how oncology researchers can unlock siloed, unorganized imaging data to train AI algorithms and accelerate discoveries. Learn best practices to leverage the vast potential of medical imaging data across both academic and clinical research workflows, saving time and resources while continuing to push boundaries for innovation in oncology. #oncology #imaging #imagingtechnology #medicalAI
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Are you attending the Traumatic Brain Injury Conference in Arlington, VA? Flywheel's Tullio Giannitti is there - send him a message if you would like to meet! https://lnkd.in/gyzWNDbN And see our case study on collecting imaging for the national TRACK-TBI, multi-site study: https://lnkd.in/gUSaQVKR #traumaticbraininjury #TBI
Streamlining Data Management for Multi-Site Traumatic Brain Injury Research
flywheel.io
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How can tech advance research into children's health equity? What are the best practices in developing trustworthy AI? We'll be meeting with leaders in pediatric medicine to answer these big questions at the inaugural CHOC Children's International Pediatric and Lifespan Data Science Conference, May 23-24! Join Erin Chu, DVM, PhD, Clay Williams, and Amanda Scerni at the meeting and the Amazon Web Services (AWS) #Datathon to discuss how analysis-ready data can drive better outcomes for kids and their families. https://lnkd.in/gtukn-7H #CHOC #pediatricresearch #pediatricmedicine #medicalimaging #childrensresearch
International Pediatric and Lifespan Data Science Conference - Children's Hospital of Orange County
choc.org
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During a recent Becker's Healthcare panel on the near future of AI in healthcare, Deepa Kumaraiah of NewYork-Presbyterian Hospital shared how AI can be incorporated into radiology: “There’s pulmonary embolism prediction, aneurysm prediction, stroke prediction and they are all different. At some point these are going to have to roll up to be operationalized in a workflow.” Read more. #AI #radiology #imaging #imagingtechnology #imagingworkflow
The next 5 years of AI in healthcare
beckershospitalreview.com
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Watch: Here’s a clip of Flywheel’s Erin Chu, DVM, PhD, speaking about the importance of cleaning your data and how you can use commercial and open-source algorithms within our imaging platform to automate data preprocessing. This helps you develop better AI with better data and put the focus back on the issue your study is exploring. See the entire conversation here via DNAnexus: https://lnkd.in/gHA2QEMA
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Reminder: Next Monday, April 29, we’ll be holding a webinar with Becker's Healthcare on how you can leverage imaging data to drive advancements in oncology. Join us as we speak with Flywheel CMIO Lyndsey Burton, MD, and Dr. Despina Kontos of Columbia University Irving Medical Center about breaking down the silos separating your imaging data. They’ll be discussing ways to boost efficiency and push the boundaries of innovation. Register before it’s too late!
Leverage imaging data to drive advancements in oncology: An expert discussion
go.beckershospitalreview.com
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If you’re attending the 2024 ISMRM & ISMRT Annual Meeting & Exhibition May 4-9 in Singapore, be sure to catch Niall Bourke, PhD, of King’s College London’s presentation on “Facilitating access to neuroimaging and computational resources in low-resource settings through a centralised biomedical imaging platform” May 7 from 8:15-10:15 a.m., featuring the Bill & Melinda Gates Foundation’s work with Flywheel. And watch our session “fw-classification: an open-source package for MRI scan classification,” led by Flywheel’s Luis Torres, May 7 from 4:45-5:45 p.m. Get in touch or stop by booth C35 to chat at the show about how we can help you better manage your imaging workflows and accelerate #imaging analysis with #AI. We hope to see you there.
Meet at the ISMRM & ISMRT Annual Meeting & Exhibition
https://flywheel.io
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We had an amazing time at Bio-IT World World this week talking to leaders in healthcare and technology about how to drive new innovations in life science and the future of precision medicine. Our own Mike Maker led the session “Accelerating Medical Imaging Research and Innovation in the Biopharmaceutical Industry,” spurring great conversations about what’s next in Pharma R&D and how we can get there with advanced technological capabilities like AI. Looking forward to next year already!
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Our own Erin Chu, DVM, PhD, recently joined DNAnexus’ Massive Scale Image Analysis Roundtable, where she discussed how her background in managing big data in genomics led her to Flywheel. She discusses how she was drawn to the expertise in multimodal imaging and developing and deploying machine learning algorithms with that data. Watch a clip below and see the whole discussion here: https://lnkd.in/gHA2QEMA