190 related articles for article (PubMed ID: 35816807)
1. Machine learning in the identification, prediction and exploration of environmental toxicology: Challenges and perspectives.
Wu X; Zhou Q; Mu L; Hu X
J Hazard Mater; 2022 Sep; 438():129487. PubMed ID: 35816807
[TBL] [Abstract][Full Text] [Related]
2. Advancing Computational Toxicology by Interpretable Machine Learning.
Jia X; Wang T; Zhu H
Environ Sci Technol; 2023 Nov; 57(46):17690-17706. PubMed ID: 37224004
[TBL] [Abstract][Full Text] [Related]
3. Data-Driven Machine Learning in Environmental Pollution: Gains and Problems.
Liu X; Lu D; Zhang A; Liu Q; Jiang G
Environ Sci Technol; 2022 Feb; 56(4):2124-2133. PubMed ID: 35084840
[TBL] [Abstract][Full Text] [Related]
4. Machine Learning and Artificial Intelligence in Toxicological Sciences.
Lin Z; Chou WC
Toxicol Sci; 2022 Aug; 189(1):7-19. PubMed ID: 35861448
[TBL] [Abstract][Full Text] [Related]
5. Progress in computational toxicology.
Ekins S
J Pharmacol Toxicol Methods; 2014; 69(2):115-40. PubMed ID: 24361690
[TBL] [Abstract][Full Text] [Related]
6. Artificial intelligence (AI)-it's the end of the tox as we know it (and I feel fine).
Kleinstreuer N; Hartung T
Arch Toxicol; 2024 Mar; 98(3):735-754. PubMed ID: 38244040
[TBL] [Abstract][Full Text] [Related]
7. Knowledge discovery and data mining in toxicology.
Helma C; Gottmann E; Kramer S
Stat Methods Med Res; 2000 Aug; 9(4):329-58. PubMed ID: 11084712
[TBL] [Abstract][Full Text] [Related]
8. Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive Toxicology.
Moukheiber L; Mangione W; Moukheiber M; Maleki S; Falls Z; Gao M; Samudrala R
Molecules; 2022 May; 27(9):. PubMed ID: 35566372
[TBL] [Abstract][Full Text] [Related]
9. Computational Approaches to Identify Structural Alerts and Their Applications in Environmental Toxicology and Drug Discovery.
Yang H; Lou C; Li W; Liu G; Tang Y
Chem Res Toxicol; 2020 Jun; 33(6):1312-1322. PubMed ID: 32091207
[TBL] [Abstract][Full Text] [Related]
10. Transfer learning for predicting human skin sensitizers.
Tung CW; Lin YH; Wang SS
Arch Toxicol; 2019 Apr; 93(4):931-940. PubMed ID: 30806762
[TBL] [Abstract][Full Text] [Related]
11. Potential Application of Machine-Learning-Based Quantum Chemical Methods in Environmental Chemistry.
Xia D; Chen J; Fu Z; Xu T; Wang Z; Liu W; Xie HB; Peijnenburg WJGM
Environ Sci Technol; 2022 Feb; 56(4):2115-2123. PubMed ID: 35084191
[TBL] [Abstract][Full Text] [Related]
12. Machine learning may accelerate the recognition and control of microplastic pollution: Future prospects.
Yu F; Hu X
J Hazard Mater; 2022 Jun; 432():128730. PubMed ID: 35338937
[TBL] [Abstract][Full Text] [Related]
13. The state of art on the prediction of efficiency and modeling of the processes of pollutants removal based on machine learning.
Taoufik N; Boumya W; Achak M; Chennouk H; Dewil R; Barka N
Sci Total Environ; 2022 Feb; 807(Pt 1):150554. PubMed ID: 34597573
[TBL] [Abstract][Full Text] [Related]
14. Improving substance information in USEtox
Saouter E; Aschberger K; Fantke P; Hauschild MZ; Kienzler A; Paini A; Pant R; Radovnikovic A; Secchi M; Sala S
Environ Toxicol Chem; 2017 Dec; 36(12):3463-3470. PubMed ID: 28671290
[TBL] [Abstract][Full Text] [Related]
15. Computational approaches to chemical hazard assessment.
Luechtefeld T; Hartung T
ALTEX; 2017; 34(4):459-478. PubMed ID: 29101769
[TBL] [Abstract][Full Text] [Related]
16. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
Woldaregay AZ; Ă…rsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
[TBL] [Abstract][Full Text] [Related]
17. Human Environmental Disease Network: A computational model to assess toxicology of contaminants.
Taboureau O; Audouze K
ALTEX; 2017; 34(2):289-300. PubMed ID: 27768803
[TBL] [Abstract][Full Text] [Related]
18. Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE).
Ma T; Zhang A
BMC Genomics; 2019 Dec; 20(Suppl 11):944. PubMed ID: 31856727
[TBL] [Abstract][Full Text] [Related]
19. Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research.
Roell K; Koval LE; Boyles R; Patlewicz G; Ring C; Rider CV; Ward-Caviness C; Reif DM; Jaspers I; Fry RC; Rager JE
Front Toxicol; 2022; 4():893924. PubMed ID: 35812168
[TBL] [Abstract][Full Text] [Related]
20. Advancing toxicity studies of per- and poly-fluoroalkyl substances (pfass) through machine learning: Models, mechanisms, and future directions.
Meng L; Zhou B; Liu H; Chen Y; Yuan R; Chen Z; Luo S; Chen H
Sci Total Environ; 2024 Jun; 946():174201. PubMed ID: 38936709
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]