AIMC Topic: Dermatitis, Irritant

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Diagnosing contact dermatitis using machine learning: A review.

Contact dermatitis Jun 3, 2024
BACKGROUND: Machine learning (ML) offers an opportunity in contact dermatitis (CD) research, where with full clinical picture, may support diagnosis and patch test accuracy.
Humans Machine Learning Diagnosis, Differential Dermatitis, Allergic Contact Patch Tests Dermatitis, Irritant
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Machine-learning-driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis.

Proceedings of the National Academy of Sciences of the United States of America Dec 14, 2020
Contact dermatitis tremendously impacts the quality of life of suffering patients. Currently, diagnostic regimes rely on allergy testing, exposure specification, and follow-up visits; however, distinguishing the clinical phenotype of irritant and all...
Humans Machine Learning Algorithms Biomarkers Female Reproducibility of Results Adult Male Severity of Illness Index Transcriptome Gene Regulatory Networks Databases, Genetic Diagnosis, Differential Skin Leukocytes Allergens Gene Expression Regulation Irritants Dermatitis, Allergic Contact Patch Tests Dermatitis, Irritant
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