Residual facial erythema in atopic dermatitis patients treated with dupilumab stratified by machine learning.

Journal: Journal of the European Academy of Dermatology and Venereology : JEADV

PMID: 38407422

Abstract

BACKGROUND: Persistent facial erythema represents a significant complication in atopic dermatitis (AD) patients undergoing treatment with dupilumab. Stratifying patients based on the erythema course is crucial for elucidating heterogeneous phenotypes and facilitating advanced drug efficacy predictions.

Authors

Koichi Ashizaki

Nomura Dermatology Clinic, Yokohama, Japan.
Tetsuo Ishikawa

Medical Sciences Innovation Hub Program, RIKEN, Yokohama, Kanagawa, Japan.
Yuko Nomura

Nomura Dermatology Clinic, Yokohama, Japan.

Keywords

Adult Antibodies, Monoclonal, Humanized Dermatitis, Atopic Erythema Face Facial Dermatoses Female Humans L-Lactate Dehydrogenase Leukocyte Count Machine Learning Male Middle Aged Retrospective Studies Severity of Illness Index Young Adult

External Resources

View on PubMed Access via DOI PubMed (38407422)

Residual facial erythema in atopic dermatitis patients treated with dupilumab stratified by machine learning.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals