Multiple Sclerosis: A distributed workflow for managing and processing neuroimaging data

Large, multi-center multiple sclerosis (MS) research projects face unique challenges: heterogeneous MRI data, complex storage and access requirements, strict regulatory compliance, and collaboration across sites and countries. Managing, processing, and analyzing thousands of images with consistency and quality can quickly become a bottleneck in clinical research.

This whitepaper explains how a scalable cloud-based workflow was built in partnership with the UCSF School of Medicine to handle extensive MS imaging datasets across multiple sites. You’ll learn how secure data upload, automated preprocessing, unified quality control, and coordinated analysis help streamline global MS studies.

👉 Download the whitepaper to explore how distributed imaging workflows support large-scale MS research and collaboration.