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This study reviews current treatments for alopecia areata, highlighting that despite various options like corticosteroids and immunosuppressives, their limited efficacy and potential side effects are challenges, while targeting specific cytokines has shown promise except with TNF inhibitors, which may worsen the condition.

This study used machine learning to identify molecular predictors of drug response in alopecia areata, suggesting a tool for predicting treatment efficacy based on gene signatures.

In this study, distinct molecular mechanisms of action were identified for three drugs used in alopecia areata clinical trials, providing insights for precision medicine and treatment selection.

This review details the adverse effects and drug interactions of biologic agents used in rheumatoid disease treatment, highlighting their significant side effect profile without reporting new clinical findings.