Machine learning analysis of pretreatment skin biopsies predicts nonresponse to dupilumab in patients with eczematous dermatitis
Author:
Affiliation:
1. Department of Dermatology
2. Section of Biomedical Informatics and Data Science
3. Department of Pathology, Yale School of Medicine , New Haven, CT , USA
Abstract
Funder
Colton Center for Autoimmunity
Publisher
Oxford University Press (OUP)
Subject
Dermatology
Link
https://academic.oup.com/bjd/advance-article-pdf/doi/10.1093/bjd/ljad389/52789512/ljad389.pdf
Reference5 articles.
1. Two phase 3 trials of dupilumab versus placebo in atopic dermatitis;Simpson;N Engl J Med,2016
2. Phase 3 efficacy and safety of abrocitinib in adults with moderate-to-severe atopic dermatitis after switching from dupilumab (JADE EXTEND);Shi;J Am Acad Dermatol,2022
3. Atopic dermatitis endotypes and implications for targeted therapeutics;Czarnowicki;J Allergy Clin Immunol,2019
4. Baseline skin cytokine profiles determined by RNA in situ hybridization correlate with response to dupilumab in patients with eczematous dermatitis;Singh;J Am Acad Dermatol,2023
5. Predictors of nonresponse to dupilumab in patients with atopic dermatitis: a machine learning analysis;Wu;Ann Allergy Asthma Immunol,2022
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