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RESEARCH PAPER · Springer eBooks · 2022

Bridging the Gap Between Nanotoxicological Data and the Critical Structure–Activity Relationships

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4 direct citing papers in this saved network. Explore the next layer with second-order citations.

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Bridging the Gap Between Nanotoxicological Data and the Critical Structure–Activity RelationshipsOriginalConverting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation85Strategies of Artificial intelligence tools in the domain of nanomedicine66Application of Machine Learning in Nanotoxicology: A Critical Review and Perspective32A new dynamic Bayesian network model for fault diagnosis of complex systems with high uncertainty in nuclear power plant4

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  1. Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation

    Chemical Reviews · 2023-06-01

    Xiliang Yan, Tongtao Yue, David Alan Winkler, Yongguang Yin, Hao Zhu, Guibin Jiang, Bing Yan

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  2. Strategies of Artificial intelligence tools in the domain of nanomedicine

    Journal of Drug Delivery Science and Technology · 2023-11-10

    Mohammad Habeeb, Huay Woon You, U. Mutheeswaran, R. Kishore Kanna, Hariyadi, Shweta Mishra

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  3. Application of Machine Learning in Nanotoxicology: A Critical Review and Perspective

    Environmental Science & Technology · 2024-08-07

    Yunchi Zhou, Ying Wang, Willie J.G.M. Peijnenburg, Martina G. Vijver, Surendra Balraadjsing, Zhaomin Dong, Xiaoli Zhao, Kmy Leung, Holly M. Mortensen, Zhenyu Wang, Iseult Lynch, Antreas Afantitis, Yunsong Mu, Fengchang Wu, Wenhong Fan

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  4. A new dynamic Bayesian network model for fault diagnosis of complex systems with high uncertainty in nuclear power plant

    Energy · 2025-12-08

    Tao Dai, Xiaohan Li, Yang Sui, Jiahao Zhu, Xiaolong Jia, Yi Jin

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