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Machine Learning Assisted Discovery of Interactions between Pesticides, Phthalates, Phenols, and Trace Elements in Child Neurodevelopment.

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Title: Machine Learning Assisted Discovery of Interactions between Pesticides, Phthalates, Phenols, and Trace Elements in Child Neurodevelopment.
Authors: Midya V; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States., Alcala CS; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States., Rechtman E; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States., Gregory JK; Instructional Technology Group,Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States., Kannan K; Department of Pediatrics and Department of Environmental Medicine, New York University School of Medicine, New York, New York 10016, United States., Hertz-Picciotto I; Department of Public Health Sciences, School of Medicine, University of California at Davis, Davis, California 95616, United States.; UC Davis MIND (Medical Investigations of Neurodevelopmental Disorders) Institute, University of California at Davis, Sacramento, California 95817, United States., Teitelbaum SL; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States., Gennings C; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States., Rosa MJ; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States., Valvi D; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.
Source: Environmental science & technology [Environ Sci Technol] 2023 Nov 21; Vol. 57 (46), pp. 18139-18150. Date of Electronic Publication: 2023 Aug 18.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 0213155 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5851 (Electronic) Linking ISSN: 0013936X NLM ISO Abbreviation: Environ Sci Technol Subsets: MEDLINE
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  Data: Machine Learning Assisted Discovery of Interactions between Pesticides, Phthalates, Phenols, and Trace Elements in Child Neurodevelopment.
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  Data: <searchLink fieldCode="AU" term="%22Midya+V%22">Midya V</searchLink>; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.<br /><searchLink fieldCode="AU" term="%22Alcala+CS%22">Alcala CS</searchLink>; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.<br /><searchLink fieldCode="AU" term="%22Rechtman+E%22">Rechtman E</searchLink>; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.<br /><searchLink fieldCode="AU" term="%22Gregory+JK%22">Gregory JK</searchLink>; Instructional Technology Group,Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.<br /><searchLink fieldCode="AU" term="%22Kannan+K%22">Kannan K</searchLink>; Department of Pediatrics and Department of Environmental Medicine, New York University School of Medicine, New York, New York 10016, United States.<br /><searchLink fieldCode="AU" term="%22Hertz-Picciotto+I%22">Hertz-Picciotto I</searchLink>; Department of Public Health Sciences, School of Medicine, University of California at Davis, Davis, California 95616, United States.; UC Davis MIND (Medical Investigations of Neurodevelopmental Disorders) Institute, University of California at Davis, Sacramento, California 95817, United States.<br /><searchLink fieldCode="AU" term="%22Teitelbaum+SL%22">Teitelbaum SL</searchLink>; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.<br /><searchLink fieldCode="AU" term="%22Gennings+C%22">Gennings C</searchLink>; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.<br /><searchLink fieldCode="AU" term="%22Rosa+MJ%22">Rosa MJ</searchLink>; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.<br /><searchLink fieldCode="AU" term="%22Valvi+D%22">Valvi D</searchLink>; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York 10029, United States.
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  Data: <searchLink fieldCode="JN" term="%220213155%22">Environmental science & technology</searchLink> [Environ Sci Technol] 2023 Nov 21; Vol. 57 (46), pp. 18139-18150. <i>Date of Electronic Publication: </i>2023 Aug 18.
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              Text: 2023 Nov 21
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