Have you heard about Federated Learning? It’s transforming MS care - right from Basel!
We’re excited to announce the latest publication from Clinnova. In this cross-border initiative, Dr. Bram Stieltjes and his team lead the Data Architecture, with Prof. Cristina Granziera spearheading Clinnova’s overall efforts in Switzerland. Clinnova, uniting France, Germany, Switzerland, and Luxembourg, is pushing the boundaries of precision medicine by advancing data federation, standardization, and interoperability across Europe - and Basel is at the core of this mission.
So, what’s Federated Learning (FL)? It’s a powerful AI approach that allows institutions to collaboratively develop models while keeping sensitive data secure at each location. This approach is transformative for complex diseases like Multiple Sclerosis (MS), enabling us to create predictive models that detect disease progression, optimize treatment pathways, and validate digital biomarkers without compromising patient privacy.
Our new publication details Clinnova’s first Federated Learning proof of concept (POC) for MS. In partnership with the IHU Strasbourg, the POC uses FL for MRI image segmentation in MS, a method that serves as a foundation for future AI-driven healthcare advancements. Clinnova’s work also spans inflammatory bowel disease and rheumatoid diseases, with plans for federated biobanking and a digital health innovation platform, bringing data-driven care to the forefront.
Dive into the full publication to discover how Federated Learning, driven by our Basel team, is shaping a new era of secure, high-quality data sharing and collaboration for MS and beyond.
Read Full Article: https://arxiv.org/pdf/2410.02443
