Beyond lesion count: machine learning based imaging markers in multiple sclerosis

16:45-17:00, January 27 @ 3BC

Talk/ Overview

Multiple sclerosis (MS) is an autoimmune disease that typically manifests in relapses. Clinical trials typically focus on disability, but this is difficult to measure and has high heterogeneity, hence the search for useful image-based markers derived from magnetic resonance imaging (MRI). In this talk, I will outline two collaborative research efforts using machine learning with MRI data to improve differential diagnosis (using a convolutional neural network) and survival prediction (using graph-based representations of lesion distributions).

Talk/ Speakers

Jonas Richiardi

Clinical Research Lead, Lausanne University Hospital

Talk/ Highlights

13:11

Beyond lesion count: machine learning based imaging markers in multiple sclerosis

With Jonas RichiardiPublished March 12, 2020

AMLD / Global partners