Machine learning approaches to detect hepatocyte chromatin alterations from iron oxide nanoparticle exposure-Reference-Cited by-同舟云学术

Machine learning approaches to detect hepatocyte chromatin alterations from iron oxide nanoparticle exposure

Published:2024-08-23 Issue:1 Volume:14 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Paunovic Pantic Jovana,Vucevic Danijela,Radosavljevic Tatjana,Corridon Peter R.^ORCID,Valjarevic Svetlana,Cumic Jelena,Bojic Ljubisa,Pantic Igor^ORCID

Funder

Khalifa University of Science, Technology and Research

Science Fund of the Republic of Serbia

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41598-024-70559-4.pdf

Reference44 articles.

1. Dimitriadis, I., Zaninovic, N., Badiola, A. C. & Bormann, C. L. Artificial intelligence in the embryology laboratory: A review. Reprod. Biomed. Online https://doi.org/10.1016/j.rbmo.2021.11.003 (2021).

2. Itto-Nakama, K. et al. Prediction of ethanol fermentation under stressed conditions using yeast morphological data. J. Biosci. Bioeng. 135, 210–216. https://doi.org/10.1016/j.jbiosc.2022.12.008 (2023).

3. Idowu, S. O. & Fatokun, A. A. Artificial intelligence (AI) to the rescue: Deploying machine learning to bridge the biorelevance gap in antioxidant assays. SLAS Technol. 26, 16–25. https://doi.org/10.1177/2472630320962716 (2021).

4. Kim, D., Min, Y., Oh, J. M. & Cho, Y. K. AI-powered transmitted light microscopy for functional analysis of live cells. Sci. Rep. 9, 18428. https://doi.org/10.1038/s41598-019-54961-x (2019).

5. Corridon, P. R., Wang, X., Shakeel, A. & Chan, V. Digital technologies: Advancing individualized treatments through gene and cell therapies, pharmacogenetics, and disease detection and diagnostics. Biomedicines. https://doi.org/10.3390/biomedicines10102445 (2022).