Unveiling psychobiological correlates in primary Sjögren’s syndrome: a machine learning approach to determinants of disease burden

Unveiling psychobiological correlates in primary Sjögren’s syndrome: a machine learning approach to determinants of disease burden

IntroductionBesides primary Sjögren’s syndrome (pSS) is generally assessed through biological markers, growing evidence suggests that psychological and social factors—such as anxiety, depression, personality traits, and social support—may also play a role in disease burden. Relative contribution of...

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Main Authors: László V. Módis, András Matuz, Zsófia Aradi, Ildikó Fanny Horváth, Antónia Szántó, Antal Bugán
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Psychiatry
Subjects:
primary Sjögren’s syndrome
machine learning
biopsychosocial model
autoantibodies
symptom burden
psychobiological correlations
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1549756/full
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https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1549756/full

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