Predictive Modeling of Patient Response to JAK/STAT Inhibitors and Dynamic Patient-Matching
Studysummary 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.
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