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Journal of the American Chemical Society|August 1, 2024
Interpretable Causal System Optimization Framework for the Advancement of Biological Effect Prediction and Redesign of NanoparticlesXu Dong, Xiangang Hu, Fubo Yu, et al.
Environment International|March 15, 2022
Multifeature superposition analysis of the effects of microplastics on microbial communities in realistic environmentsJing Zhang, Fubo Yu, Xiangang Hu, et al.
Science Advances|May 27, 2021
Deep exploration of random forest model boosts the interpretability of machine learning studies of complicated immune responses and lung burden of nanoparticlesFubo Yu, Changhong Wei, Peng Deng, et al.
Environmental Pollution (Barking, Essex : 1987)|July 31, 2025
Application of a machine learning-based food risk framework to assess the public dietary risk of cadmium in ChinaPeng Deng, Xiangang Hu, Li Mu, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 26, 2020
Machine learning predicts the functional composition of the protein corona and the cellular recognition of nanoparticlesZhan Ban, Peng Yuan, Fubo Yu, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 4, 2024
Zinc oxide nanoparticles cooperate with the phyllosphere to promote grain yield and nutritional quality of rice under heatwave stressShuqing Guo, Xiangang Hu, Zixuan Wang, et al.
Environmental Pollution (Barking, Essex : 1987)|August 26, 2020
Predicting nanotoxicity by an integrated machine learning and metabolomics approachTing Peng, Changhong Wei, Fubo Yu, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 14, 2023
Development potential of nanoenabled agriculture projected using machine learningPeng Deng, Yiming Gao, Li Mu, et al.
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