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For: Dong G, Wang N, Xu T, Liang J, Qiao R, Yin D, Lin S. Deep Learning-Enabled Morphometric Analysis for Toxicity Screening Using Zebrafish Larvae. Environ Sci Technol 2023;57:18127-18138. [PMID: 36971266 DOI: 10.1021/acs.est.3c00593] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Number Cited by Other Article(s)
1
Wang N, Dong G, Qiao R, Yin X, Lin S. Bringing Artificial Intelligence (AI) into Environmental Toxicology Studies: A Perspective of AI-Enabled Zebrafish High-Throughput Screening. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024;58:9487-9499. [PMID: 38691763 DOI: 10.1021/acs.est.4c00480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
2
Fu X, Jiang J, Wu X, Huang L, Han R, Li K, Liu C, Roy K, Chen J, Mahmoud NTA, Wang Z. Deep learning in water protection of resources, environment, and ecology: achievement and challenges. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024;31:14503-14536. [PMID: 38305966 DOI: 10.1007/s11356-024-31963-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 01/06/2024] [Indexed: 02/03/2024]
3
Lu J, Zhang C, Xu W, Chen W, Tao L, Li Z, Cheng J, Zhang Y. Developmental toxicity and estrogenicity of glyphosate in zebrafish in vivo and in silico studies. CHEMOSPHERE 2023;343:140275. [PMID: 37758082 DOI: 10.1016/j.chemosphere.2023.140275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 09/17/2023] [Accepted: 09/23/2023] [Indexed: 09/30/2023]
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