Computing with Flywheel

The simplest approach for working with existing pipelines involves downloading the required data from Flywheel and processing it as usual.…

Saving Time and Money with Flywheel HPC Integration 

Flywheel, a comprehensive research data platform for medical imaging, machine learning, and clinical trials, recently rolled out a beta…

Leveraging Flywheel for Deep Learning Model Prediction

Since 2012, the Medical Image Computing and Computer Assisted Intervention Society (MICCAI) has put on the Brain Tumor Segmentation (BraTS)…

Why a Research-First Platform for Imaging Informatics and Machine Learning?

It's no secret that researchers face many challenges that impede the research and development of artificial intelligence (AI) solutions in…

Four AI Workflow Trends from RSNA 2019

Attendees who visited our booth last year were interested in learning about AI capabilities. This year they were bringing questions about…

Flywheel Delivers Reproducibility

Flywheel’s scientific advisory board member, Victoria Stodden, writes that reproducible research must enable people to check each other's…

Flywheel Delivers Data Management

Persistently storing data is the critical first step in planning for reproducible science. Defining file formats and organizing directories…

Four Takeaways from BioData World West 2019

The main focus among conversations at BioData this year was making data accessible across departments and organizations. Letting data flow…

Flywheel Delivers FAIR Principles

The FAIR acronym is a nice way to summarize four important aspirations of modern research practice: scholarly data should be Findable,…