Machine-learning–driven biomarker discovery for the discrimination between allergic and irritant contact dermatitis

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 allergic contact dermatitis remains challenging. Empl...

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Detalles Bibliográficos
Autores principales: Fortino, Vittorio, Wisgrill, Lukas, Werner, Paulina, Suomela, Sari, Linder, Nina, Jalonen, Erja, Suomalainen, Alina, Marwah, Veer, Kero, Mia, Pesonen, Maria, Lundin, Johan, Lauerma, Antti, Aalto-Korte, Kristiina, Greco, Dario, Alenius, Harri, Fyhrquist, Nanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776829/
https://www.ncbi.nlm.nih.gov/pubmed/33318199
http://dx.doi.org/10.1073/pnas.2009192117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7776829/
https://www.ncbi.nlm.nih.gov/pubmed/33318199
http://dx.doi.org/10.1073/pnas.2009192117

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