Development of machine learning models for the prediction of the skin sensitization potential of cosmetic compounds
Background To enhance the accuracy of allergen detection in cosmetic compounds, we developed a co-culture system that combines HaCaT keratinocytes (transfected with a luciferase plasmid driven by the AKR1C2 promoter) and THP-1 cells for machine learning applications. Methods Following chemical expos...
Päätekijät: | , , , |
---|---|
Aineistotyyppi: | Artikkeli |
Kieli: | English |
Julkaistu: |
PeerJ Inc.
2024-12-01
|
Sarja: | PeerJ |
Aiheet: | |
Linkit: | https://peerj.com/articles/18672.pdf |