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An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice.

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Title: An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice.
Authors: Chou WC; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32608, USA; Center for Environmental and Human Toxicology, University of Florida, Gainesville, FL 32610, USA., Chen Q; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32608, USA; Center for Environmental and Human Toxicology, University of Florida, Gainesville, FL 32610, USA., Yuan L; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32608, USA; Center for Environmental and Human Toxicology, University of Florida, Gainesville, FL 32610, USA., Cheng YH; Institute of Computational Comparative Medicine, Kansas State University, Manhattan, KS 66506, USA., He C; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32608, USA; Department of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32608, USA., Monteiro-Riviere NA; Nanotechnology Innovation Center of Kansas State, Kansas State University, Manhattan, KS 66506, USA; Center for Chemical Toxicology Research and Pharmacokinetics, North Carolina State University, Raleigh, NC 27606, USA., Riviere JE; Center for Chemical Toxicology Research and Pharmacokinetics, North Carolina State University, Raleigh, NC 27606, USA; 1Data Consortium, Kansas State University, Olathe, KS 66061, USA., Lin Z; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32608, USA; Center for Environmental and Human Toxicology, University of Florida, Gainesville, FL 32610, USA. Electronic address: linzhoumeng@ufl.edu.
Source: Journal of controlled release : official journal of the Controlled Release Society [J Control Release] 2023 Sep; Vol. 361, pp. 53-63. Date of Electronic Publication: 2023 Jul 31.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Elsevier Science Publishers Country of Publication: Netherlands NLM ID: 8607908 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4995 (Electronic) Linking ISSN: 01683659 NLM ISO Abbreviation: J Control Release Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice.
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  Data: <searchLink fieldCode="AU" term="%22Chou+WC%22">Chou WC</searchLink>; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32608, USA; Center for Environmental and Human Toxicology, University of Florida, Gainesville, FL 32610, USA.<br /><searchLink fieldCode="AU" term="%22Chen+Q%22">Chen Q</searchLink>; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32608, USA; Center for Environmental and Human Toxicology, University of Florida, Gainesville, FL 32610, USA.<br /><searchLink fieldCode="AU" term="%22Yuan+L%22">Yuan L</searchLink>; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32608, USA; Center for Environmental and Human Toxicology, University of Florida, Gainesville, FL 32610, USA.<br /><searchLink fieldCode="AU" term="%22Cheng+YH%22">Cheng YH</searchLink>; Institute of Computational Comparative Medicine, Kansas State University, Manhattan, KS 66506, USA.<br /><searchLink fieldCode="AU" term="%22He+C%22">He C</searchLink>; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32608, USA; Department of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32608, USA.<br /><searchLink fieldCode="AU" term="%22Monteiro-Riviere+NA%22">Monteiro-Riviere NA</searchLink>; Nanotechnology Innovation Center of Kansas State, Kansas State University, Manhattan, KS 66506, USA; Center for Chemical Toxicology Research and Pharmacokinetics, North Carolina State University, Raleigh, NC 27606, USA.<br /><searchLink fieldCode="AU" term="%22Riviere+JE%22">Riviere JE</searchLink>; Center for Chemical Toxicology Research and Pharmacokinetics, North Carolina State University, Raleigh, NC 27606, USA; 1Data Consortium, Kansas State University, Olathe, KS 66061, USA.<br /><searchLink fieldCode="AU" term="%22Lin+Z%22">Lin Z</searchLink>; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL 32608, USA; Center for Environmental and Human Toxicology, University of Florida, Gainesville, FL 32610, USA. Electronic address: linzhoumeng@ufl.edu.
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  Data: <searchLink fieldCode="JN" term="%228607908%22">Journal of controlled release : official journal of the Controlled Release Society</searchLink> [J Control Release] 2023 Sep; Vol. 361, pp. 53-63. <i>Date of Electronic Publication: </i>2023 Jul 31.
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        Value: 10.1016/j.jconrel.2023.07.040
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      – Code: eng
        Text: English
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              M: 09
              Text: 2023 Sep
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              Y: 2023
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