Demonstrating the Potential of Untargeted Hair Proteomics for Personalized Biomarkers in Stress-Associated Disorders
November 2025
in “
Psychoneuroendocrinology
”
Studysummary This study reported that machine learning analysis of protein profiles in hair segments achieved high accuracy in distinguishing women with non-suicidal self-injury disorder from healthy controls, suggesting hair proteomics as a promising non-invasive biomarker for stress-related psychopathology with potential clinical applications.
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