From data to diagnosis: how machine learning is revolutionizing biomarker discovery in idiopathic inflammatory myopathies

Emily McLeish; Nataliya Slater; Frank L Mastaglia; Merrilee Needham; Jerome D Coudert

doi:10.1093/bib/bbad514

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From data to diagnosis: how machine learning is revolutionizing biomarker discovery in idiopathic inflammatory myopathies

Journal article

Open access

Peer reviewed

From data to diagnosis: how machine learning is revolutionizing biomarker discovery in idiopathic inflammatory myopathies

Emily McLeish, Nataliya Slater, Frank L Mastaglia, Merrilee Needham and Jerome D Coudert

Briefings in bioinformatics, Vol.25(1), bbad514

2023

DOI: https://doi.org/10.1093/bib/bbad514

PMID: 38243695

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Abstract

Adult

Autoimmune Diseases

Biomarkers

Dermatomyositis - diagnosis

Disease Progression

Humans

Myositis - diagnosis

Myositis - therapy

Idiopathic inflammatory myopathies (IIMs) are a heterogeneous group of muscle disorders including adult and juvenile dermatomyositis, polymyositis, immune-mediated necrotising myopathy and sporadic inclusion body myositis, all of which present with variable symptoms and disease progression. The identification of effective biomarkers for IIMs has been challenging due to the heterogeneity between IIMs and within IIM subgroups, but recent advances in machine learning (ML) techniques have shown promises in identifying novel biomarkers. This paper reviews recent studies on potential biomarkers for IIM and evaluates their clinical utility. We also explore how data analytic tools and ML algorithms have been used to identify biomarkers, highlighting their potential to advance our understanding and diagnosis of IIM and improve patient outcomes. Overall, ML techniques have great potential to revolutionize biomarker discovery in IIMs and lead to more effective diagnosis and treatment.

Details

Title: From data to diagnosis: how machine learning is revolutionizing biomarker discovery in idiopathic inflammatory myopathies
Authors/Creators: Emily McLeish - Murdoch University
Nataliya Slater - Murdoch University
Frank L Mastaglia - Perron Institute for Neurological and Translational Science
Merrilee Needham - Murdoch University, Centre for Molecular Medicine and Innovative Therapeutics
Jerome D Coudert - Murdoch University, Centre for Molecular Medicine and Innovative Therapeutics
Publication Details: Briefings in bioinformatics, Vol.25(1), bbad514
Publisher: Oxford University Press
Grant note: Perron Institute for Neurological and Translational Science Brain Foundation and the Spinnaker Health Research Foundation
Identifiers: 991005631766007891
Murdoch Affiliation: Centre for Molecular Medicine and Innovative Therapeutics
Language: English
Resource Type: Journal article

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