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Identifying factors controlling cellular uptake of gold nanoparticles by machine learning

journal contribution
posted on 2024-04-18, 05:32 authored by E Bilgi, David WinklerDavid Winkler, Ceyda Oksel Karakus

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Funding

This work was supported by the scientific Research Projects coordination Unit of Izmir Institute of Technology (project number: 2022iYte-3-0036).

History

Publication Date

2024-01-01

Journal

Journal of Drug Targeting

Volume

32

Issue

1

Article Number

2288995

Pagination

8p. (p.66-73)

Publisher

Taylor & Francis

ISSN

1026-7158

Rights Statement

© 2023 The Authors. This is an Accepted Manuscript version of the following article, accepted for publication in Journal of Drug Targeting. Bilgi, E., Winkler, D. A., & Oksel Karakus, C. (2024). Identifying factors controlling cellular uptake of gold nanoparticles by machine learning. Journal of Drug Targeting, 32(1), 66–73. https://doi.org/10.1080/1061186X.2023.2288995. It is deposited under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

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    Categories

    Keywords

    gold nanoparticlesmachine learningICPcellular uptakemedical applications

    Licence

    CC BY-NC-ND 4.0

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