Siemens Healthineers Leverages Flywheel to Accelerate Research and Development
View PDF
See how leading researchers have applied Flywheel to accelerate their work, simplify collaborations, and streamline their research data management.
-
-
Accelerating Production-Ready AI with the University of Wisconsin Radiology, NVIDIA & Microsoft
Watch this webinar to learn how the UW Department of Radiology has ingested, indexed and processed 5 million clinical studies to unlock additional health insights and provide personalized reports.
Watch Video
-
Advancing Neuroimaging and Data Management in Multicenter Studies and Clinical Trials
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.
Watch Video
-
Loading, please wait
Error - something went wrong!
Join 6,000+ research innovators on our mailing list!
You're subscribed to updates!
-
Accelerated Drug Development through Scalable AI-Powered Medical Imaging
We discuss how to build reliable, scalable solutions that integrate advanced AI technology and enable robust imaging data management and analysis.
Watch Video
-
Revolutionizing Medical Research: Flywheel as the Imaging Solution with CAVATICA in a Multimodal Data Ecosystem
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.
View PDF
-
Bill & Melinda Gates Foundation’s UNITY Project Democratizes Brain Imaging Research Around the Globe
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.
View PDF
-
Algorithm Bake-Off: Comparing AI Algorithms for CT Segmentation with Flywheel Data Exchange and Jupyter Notebooks
We use one platform to conduct a comparison of two deep learning liver and kidney segmentation models, revealing the importance of complete DICOM header curation to reduce segmentation errors.
View PDF
-
Advancing Imaging AI Development With NVIDIA and Flywheel
Radiologists cut 8 months of processing time leveraging Flywheel and NVIDIA. See how they access millions of images, annotate data efficiently, and train and deploy medical imaging AI models.
View PDF
-
Leveraging Next-Generation Tools for Enterprise-Level Dataset Creation
The University of Texas Medical Branch has implemented a platform for streamlining the creation of radiology and pathology datasets, enabling more efficient collaborations.
Watch Video
-
Automating Workflows in Stanford’s Brain Stimulation Lab
Read how Dr. Azeezat Azeez and her collaborators are using Flywheel to automate research workflows for Stanford Neuromodulation Therapy.
View PDF
-
Health System Informatics Leader Uses Flywheel to Create AI-Ready Data Sets
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.
View PDF
-
Accelerating Clinical Research Workflows with Automation for Personalized TMS Treatment
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.
Watch Video
-
Solving Imaging AI Problems | Enabling COVID19 Research at the University of Wisconsin with NVIDIA
Data management is key to the development of AI and often accounts for 80% of researchers' workload leaving minimal time for analysis. There are many challenges to getting high-quality data into the h
Watch Video
-
Streamlining Data Management for Precision Medicine at an Imaging Core
Learn how Flywheel streamlined data access at an imaging core studying cancer biomarkers and multimodal imaging.
Read Article
-
Enabling Scientific Collaboration at UCI Yassa Lab
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.
Read Article
-
Inside the Mind of a Data Scientist: Anisha Keshavan
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.
Watch Video
-
Unlocking Precision Medicine: Streamlining Data Management for Multi-Site Brain Injury Research
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
Watch Video
-
USC’s Dornsife Neuroimaging Center Uses Flywheel to Improve Data Sharing and Collaboration
The Dornsife Neuroimaging Center uses Flywheel’s research data platform to support research productivity across the University of Southern California community.
Read Article
-
Radiologist Uses Flywheel to Accelerate COVID19 Reader Study
View PDF
-
Cloud-Scale COVID-19 AI Research and Collaboration in Radiology
Data management is a key component to developing AI software. Organizations need adaptable, scalable infrastructure that can provide access to curated data while maintaining strict privacy and complia
Watch Video
-
Loading More...
