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. |
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| 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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