Accelerating Cosmetic Innovation Through Next-Generation Computational Toxicology: From Structural Alerts to Molecular Dynamics and Artificial Intelligence for Skin Sensitization Assessment.
- DOI
- 10.3390/toxics14090777
- Published
- 2026 Aug 31
- Container
- Toxics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/toxics14090777,
title = {Accelerating Cosmetic Innovation Through Next-Generation Computational Toxicology: From Structural Alerts to Molecular Dynamics and Artificial Intelligence for Skin Sensitization Assessment.},
author = {Quintero-Trujillo TE and Diaz-Rojas L and Andrade H and Alfonso-Romero P},
year = {2026},
journal = {Toxics},
doi = {10.3390/toxics14090777},
url = {https://doi.org/10.3390/toxics14090777}
}RIS
TY - JOUR TI - Accelerating Cosmetic Innovation Through Next-Generation Computational Toxicology: From Structural Alerts to Molecular Dynamics and Artificial Intelligence for Skin Sensitization Assessment. AU - Quintero-Trujillo TE AU - Diaz-Rojas L AU - Andrade H AU - Alfonso-Romero P PY - 2026 JO - Toxics DO - 10.3390/toxics14090777 UR - https://doi.org/10.3390/toxics14090777 ER -
APA
TE, Q., L, D., H, A., & P, A. (2026). Accelerating Cosmetic Innovation Through Next-Generation Computational Toxicology: From Structural Alerts to Molecular Dynamics and Artificial Intelligence for Skin Sensitization Assessment.. Toxics. https://doi.org/10.3390/toxics14090777
Source records
- pubmed · retrieved 2026-09-26T14:06:05.137Z