Rethinking ME/CFS Diagnostic Reference Intervals via Machine Learning, and the Utility of Activin B for Defining Symptom Severity

Rethinking ME/CFS Diagnostic Reference Intervals via Machine Learning, and the Utility of Activin B for Defining Symptom Severity

Biomarker discovery applied to myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), a disabling disease of inconclusive aetiology, has identified several cytokines to potentially fulfil a role as a quantitative blood/serum marker for laboratory diagnosis, with activin B a recent addition. We...

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Bibliographic Details
Main Authors: Brett A. Lidbury, Badia Kita, Alice M. Richardson, Donald P. Lewis, Edwina Privitera, Susan Hayward, David de Kretser, Mark Hedger
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Diagnostics
Subjects:
myalgic encephalomyelitis
chronic fatigue syndrome
activin
pathology
biomarker
cytokine
machine learning
reference intervals
Online Access:https://www.mdpi.com/2075-4418/9/3/79

Internet

https://www.mdpi.com/2075-4418/9/3/79

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