Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

My NCBI Filters
Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2017 2
2018 1
2019 1
2021 0
Text availability
Article attribute
Article type
Publication date

Search Results

4 results
Results by year

Citations

1 article found by citation matching

Search results

Filters applied: . Clear all
Page 1
Prediction of skin sensitization potency using machine learning approaches.
Zang Q, Paris M, Lehmann DM, Bell S, Kleinstreuer N, Allen D, Matheson J, Jacobs A, Casey W, Strickland J. Zang Q, et al. J Appl Toxicol. 2017 Jul;37(7):792-805. doi: 10.1002/jat.3424. Epub 2017 Jan 10. J Appl Toxicol. 2017. PMID: 28074598 Free PMC article.
Machine learning models that classify substances as sensitizers or non-sensitizers without using animal data have been developed and evaluated. Because some regulatory agencies require that sensitizers be further classified into potency c …
Machine learning models that classify substances as sensitizers or non-sensitizers without using animal data hav …
Computational approaches for skin sensitization prediction.
Wilm A, Kühnl J, Kirchmair J. Wilm A, et al. Crit Rev Toxicol. 2018 Oct;48(9):738-760. doi: 10.1080/10408444.2018.1528207. Epub 2018 Nov 29. Crit Rev Toxicol. 2018. PMID: 30488745 Review.
Drugs, cosmetics, preservatives, fragrances, pesticides, metals, and other chemicals can cause skin sensitization. The ability to predict the skin sensitization potential and potency of substances is therefore of enormous importance to a …
Drugs, cosmetics, preservatives, fragrances, pesticides, metals, and other chemicals can cause skin sensitization. The ability …
Improved defined approaches for predicting skin sensitization hazard and potency in humans.
Li H, Bai J, Zhong G, Lin H, He C, Dai R, Du H, Huang L. Li H, et al. ALTEX. 2019;36(3):363-372. doi: 10.14573/altex.1809191. Epub 2019 Jan 23. ALTEX. 2019. PMID: 30685780 Free article.
Machine learning models were shown to be effective in DAs, but the predictivity might be affected by data imbalance (i.e. more numbers of sensitizers than non-sensitizers) and limited information in the databases. ...Both DAs showed higher perfo …
Machine learning models were shown to be effective in DAs, but the predictivity might be affected by data imbalance (i. …
The GARD platform for potency assessment of skin sensitizing chemicals.
Zeller KS, Forreryd A, Lindberg T, Gradin R, Chawade A, Lindstedt M. Zeller KS, et al. ALTEX. 2017;34(4):539-559. doi: 10.14573/altex.1701101. Epub 2017 Apr 12. ALTEX. 2017. PMID: 29156079 Free article.
Contact allergy induced by certain chemicals is a common health concern, and several alternative methods have been developed to fulfill the requirements of European legislation with regard to hazard assessment of potential skin sensitizers. However, validated method …
Contact allergy induced by certain chemicals is a common health concern, and several alternative methods have been developed to fulfill the …