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

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Bibliographic Details
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
Database: MEDLINE Ultimate
Description
ISSN:1520-5851
DOI:10.1021/acs.est.3c00848