Artificial Intelligence That Predicts Sensitizing Potential of Cosmetic Ingredients with Accuracy Comparable to Animal and In Vitro Tests—How Does the Infotechnomics Compare to Other “Omics” in the Cosmetics Safety Assessment?

Artificial Intelligence That Predicts Sensitizing Potential of Cosmetic Ingredients with Accuracy Comparable to Animal and In Vitro Tests—How Does the Infotechnomics Compare to Other “Omics” in the Cosmetics Safety Assessment?

The aim of the current study was to develop an in silico model to predict the sensitizing potential of cosmetic ingredients based on their physicochemical characteristics and to compare the predictions with historical animal data and results from “omics”-based in vitro studies. An in silico model wa...

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Bibliographic Details
Main Authors: Jadwiga Kalicińska, Barbara Wiśniowska, Sebastian Polak, Radoslaw Spiewak
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:International Journal of Molecular Sciences
Subjects:
cosmetic ingredients
sensitizing potential
contact allergy
risk assessment
infotechnomics
in silico modelling
Online Access:https://www.mdpi.com/1422-0067/24/7/6801

Internet

https://www.mdpi.com/1422-0067/24/7/6801

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