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This study explores the use of in silico methods to identify potential diagnostic biomarkers for primary cicatricial alopecia, revealing significant interactions among genes and proteins related to disease pathogenesis.

In this exploratory study of trigeminal neuralgia patients undergoing microvascular decompression surgery, differential protein expression in plasma and cerebrospinal fluid was observed between responders and non-responders, suggesting potential biomarkers to predict surgical success and providing insights into the mechanisms of pain relief.

Three molecular subtypes of advanced skin T-cell lymphoma were identified, with potential biomarkers for predicting treatment response and disease progression.

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.

This study found that hair proteomics may serve as a promising, non-invasive biomarker source for stress-associated psychopathology, showing high accuracy in distinguishing patients with non-suicidal self-injury disorder from healthy controls.