Predicting tissue distribution and tumor delivery of nanoparticles in mice using machine learning models.

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Bibliographic Details
Title: Predicting tissue distribution and tumor delivery of nanoparticles in mice using machine learning models.
Authors: Mi K; 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., 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; Department of Environmental Sciences, College of Natural & Agricultural Sciences, University of California, Riverside, CA 92521, 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., Kamineni VN; 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., Kuchimanchi Y; 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., 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] 2024 Oct; Vol. 374, pp. 219-229. Date of Electronic Publication: 2024 Aug 16.
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
Description
ISSN:1873-4995
DOI:10.1016/j.jconrel.2024.08.015