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The Immune Signature of CSF in Multiple Sclerosis with and without Oligoclonal Bands: A Machine Lear...

The Immune Signature of CSF in Multiple Sclerosis with and without Oligoclonal Bands: A Machine Lear...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_gup_ub_gu_se_335195

The Immune Signature of CSF in Multiple Sclerosis with and without Oligoclonal Bands: A Machine Learning Approach to Proximity Extension Assay Analysis

About this item

Full title

The Immune Signature of CSF in Multiple Sclerosis with and without Oligoclonal Bands: A Machine Learning Approach to Proximity Extension Assay Analysis

Publisher

Switzerland: MDPI AG

Journal title

International journal of molecular sciences, 2024-01, Vol.25 (1), p.139

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Early diagnosis of multiple sclerosis (MS) relies on clinical evaluation, magnetic resonance imaging (MRI), and cerebrospinal fluid (CSF) analysis. Reliable biomarkers are needed to differentiate MS from other neurological conditions and to define the underlying pathogenesis. This study aimed to comprehensively profile immune activation biomarkers...

Alternative Titles

Full title

The Immune Signature of CSF in Multiple Sclerosis with and without Oligoclonal Bands: A Machine Learning Approach to Proximity Extension Assay Analysis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_swepub_primary_oai_gup_ub_gu_se_335195

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_gup_ub_gu_se_335195

Other Identifiers

ISSN

1422-0067,1661-6596

E-ISSN

1422-0067

DOI

10.3390/ijms25010139

How to access this item