Before your research can get going in Flywheel, there’s one obvious step—your data has to get into the platform. Depending on the type and amount of data you’re looking to…
The average Flywheel site has hundreds of thousands of files, and many public data sets range in size from 20GB to 100GB. With storage needs like this, it’s easy to…
Federated learning holds the potential to dramatically accelerate machine learning in healthcare. This emerging AI training method changes how researchers access data and reduces challenges with compliance and data privacy. …
Multi-reader studies are a popular tool for radiology researchers as they look to label images to build and refine AI models, among other applications. But administering these unique studies is…
Precision medicine is advancing rapidly, in almost every field of medicine, and the idea that clinicians can—and should—tailor treatments to match each individual patient is driving ongoing large-scale clinical trials…
Leveraging A Purpose-Built Informatics Platform As AI (artificial intelligence) developers near the inflection point where they will outgrow the methods used to commercialize their algorithms, they often realize they…
MINNEAPOLIS — (November 29, 2021) — Flywheel, the leading data management platform for biomedical research and collaboration, announces a new platform for federated data sharing and analysis: Flywheel Exchange. The…
MINNEAPOLIS — (Nov. 22, 2021) — Flywheel, the leading cloud-scale informatics platform for biomedical research and collaboration, announced today the successful integration of its platform by Roche and Genentech, a…
Flywheel, the leading cloud-based data management platform for biomedical research and collaboration, today announced the closure of its Series C funding round including an investment from Intuitive Ventures, a venture…