Evidence-Based Prediction of Cellular Toxicity for Amorphous Silica Nanoparticles-Reference-Cited by-同舟云学术

Evidence-Based Prediction of Cellular Toxicity for Amorphous Silica Nanoparticles

Published:2023-05-31 Issue:11 Volume:17 Page:9987-9999
ISSN:1936-0851
Container-title:ACS Nano
language:en
Short-container-title:ACS Nano

Author:

Martin ¹²³^ORCID,Watanabe Reiko²³,Hashimoto Kosuke²,Higashisaka Kazuma¹⁴^ORCID,Haga Yuya¹,Tsutsumi Yasuo¹⁵,Mizuguchi Kenji¹²³^ORCID

Affiliation:

1. Graduate School of Pharmaceutical Sciences, Osaka University, 1-6 Yamadaoka, Suita, Osaka 565-0871, Japan

2. Institute for Protein Research, Osaka University, 3-2 Yamadaoka, Suita, Osaka 565-0871, Japan

3. Artificial Intelligence Centre for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), 7-6-8 Saito-Asagi, Ibaraki, Osaka 567-0085, Japan

4. Institute for Advanced Co-Creation Studies, Osaka University, 1-6 Yamadaoka, Suita, Osaka 565-0871, Japan

5. Global Center for Medical Engineering and Informatics, Osaka University, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan

Publisher

American Chemical Society (ACS)

Subject

General Physics and Astronomy,General Engineering,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsnano.2c11968

Reference69 articles.

1. Meta-analysis of cellular toxicity for cadmium-containing quantum dots

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3. A Meta-Analysis of Carbon Nanotube Pulmonary Toxicity Studies-How Physical Dimensions and Impurities Affect the Toxicity of Carbon Nanotubes

4. Meta-analysis of cellular toxicity for graphene via data-mining the literature and machine learning

5. Combining machine learning with meta-analysis for predicting cytotoxicity of micro- and nanoplastics

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