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. …
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…
In 2020, more researchers than ever found themselves teleworking. With standard tools, not being in the lab might sharply limit the type of analytical work they can do. Flywheel, a…
Software for managing clinical research data must solve two critical challenges. First, the software must operate securely. Securing data is an ongoing challenge for the industry, as documented in a…
The Action Collaborative on Neuroscience Data in the Cloud, part of the National Academies of Sciences, Engineering, and Medicine, is working on a document to guide researchers conducting cloud-based research.…
Life Sciences Digital Transformation in the Age of AI Requires New Infrastructure A digital transformation is currently underway in the pharmaceutical industry, as life sciences organizations work to reduce costs,…
The simplest approach for working with existing pipelines involves downloading the required data from Flywheel and processing it as usual. Flywheel provides several download options including the web-based UI and…
Flywheel, a comprehensive research data platform for medical imaging, machine learning, and clinical trials, recently rolled out a beta integration feature for High Performance Computing (HPC) clusters, including Slurm and…