Back to search

Article

Language Model Embedding Classifiers Enable Identification of Multiple Sclerosis-Associated BCRs and Repertoires

2026-07-13

Abstract excerpt

Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease. It affects over 2 million people worldwide but has historically been challenging to diagnose, categorize, and treat. MS has an autoimmune component that involves the production of B-cell receptors (BCRs) and immunoglobulins (Igs) that are associated with disease pathophysiology. We reanalyzed all publicly available RNA sequencing data from MS...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9cd13af7-daf3-5a74-8570-6c523e985dfc
DOI
10.64898/2026.07.07.735316
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Language Model Embedding Classifiers Enable Identification of Multiple Sclerosis-Associated BCRs and RepertoiresDOI 10.64898/2026.07.07.735316
Select a neighboring publication to make it the new centre.