Flywheel Partners with Google Cloud to Provide Clinical Researchers with Advanced Cloud Technology and Machine Learning for Medical Imaging

Flywheel, provider of cloud-based collaborative science solutions for biomedical research, today announced a technology partnership with Google Cloud to integrate Google’s Cloud Healthcare Application Programming Interface (API) with Flywheel’s platform to provide clinical researchers with advanced cloud technology for medical imaging research.


Flywheel-Connect 3D Slicer Extension

Modern scientific workflows require the utilization of a diverse (and sometimes disparate) set of tools to turn data into insight. With each of these tools designed to excel at a specific set of tasks, shepherding results between tools can require significant effort and expense. Fortunately, Flywheel exists as a framework to facilitate ease-of-use of these tools and the transfer of data between them.


Building Blocks of Imaging AI Use Case: Flywheel delivers presentation at BioData World West 2019

Flywheel Exchange, is sponsoring a demonstration in booth 14, and a speaking presentation “Scaling Medical Imaging and Machine Learning in Clinical Research: Data Management, Curation, Computational Workflows” at Bio-Data West 2019. 


Flywheel’s Neuroinformatics Platform: Translating scientific findings into clinical applications

Lerma-Usabiaga led a group from Stanford University and the University of California, San Francisco (UCSF) in developing a framework for translating magnetic resonance imaging (MRI) scientific findings into clinical practice.  Their system is based on the Flywheel neuroinformatics platform, including both the data and computational management tools. The methods framework explores replication, which is essential for valid science, and generalization, which is essential for clinical applications.…


Building Blocks of Imaging AI Use Case: Flywheel delivers presentation at BioData World West 2019

Flywheel Exchange, is sponsoring a demonstration in booth 14, and a speaking presentation “Scaling Medical Imaging and Machine Learning in Clinical Research: Data Management, Curation, Computational Workflows” at Bio-Data West 2019.