Artificial intelligence and machine learning in computational nanotoxicology: unlocking and empowering nanomedicine

AV Singh, MHD Ansari, D Rosenkranz… - Advanced …, 2020‏ - Wiley Online Library
Advances in nanomedicine, coupled with novel methods of creating advanced materials at
the nanoscale, have opened new perspectives for the development of healthcare and …

[HTML][HTML] Nano-QSAR modeling for predicting the cytotoxicity of metallic and metal oxide nanoparticles: A review

J Li, C Wang, L Yue, F Chen, X Cao, Z Wang - … and Environmental Safety, 2022‏ - Elsevier
Given the rapid development of nanotechnology, it is crucial to understand the effects of
nanoparticles on living organisms. However, it is laborious to perform toxicological tests on a …

Metal and metal oxide nanoparticle toxicity: moving towards a more holistic structure–activity approach

GP Gakis, IG Aviziotis, CA Charitidis - Environmental Science: Nano, 2023‏ - pubs.rsc.org
The recent emergence of nanotechnology has led to the rapid increase of intentional and
unintentional exposure to engineered nanoparticles (NPs), raising concerns over their …

[HTML][HTML] NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment

A Afantitis, G Melagraki, P Isigonis, A Tsoumanis… - Computational and …, 2020‏ - Elsevier
Nanotechnology has enabled the discovery of a multitude of novel materials exhibiting
unique physicochemical (PChem) properties compared to their bulk analogues. These …

Understanding nanoparticle toxicity to direct a safe-by-design approach in cancer nanomedicine

JA Damasco, S Ravi, JD Perez, DE Hagaman… - Nanomaterials, 2020‏ - mdpi.com
Nanomedicine is a rapidly growing field that uses nanomaterials for the diagnosis, treatment
and prevention of various diseases, including cancer. Various biocompatible nanoplatforms …

Machine learning models for predicting cytotoxicity of nanomaterials

Z Ji, W Guo, EL Wood, J Liu, S Sakkiah… - Chemical Research …, 2022‏ - ACS Publications
The wide application of nanomaterials in consumer and medical products has raised
concerns about their potential adverse effects on human health. Thus, more and more …

Practices and trends of machine learning application in nanotoxicology

I Furxhi, F Murphy, M Mullins, A Arvanitis, CA Poland - Nanomaterials, 2020‏ - mdpi.com
Machine Learning (ML) techniques have been applied in the field of nanotoxicology with
very encouraging results. Adverse effects of nanoforms are affected by multiple features …

[HTML][HTML] In silico nanotoxicology: The computational biology state of art for nanomaterial safety assessments

SK Verma, A Nandi, FZ Simnani, D Singh, A Sinha… - Materials & Design, 2023‏ - Elsevier
In recent decade, nanotechnology has got an extensive advancement in terms of production
and application of nanomaterials. With the advancement, concern has risen for their …

Toxicity of engineered metal oxide nanomaterials mediated by nano–bio–eco–interactions: a review and perspective

X He, WG Aker, PP Fu, HM Hwang - Environmental Science: Nano, 2015‏ - pubs.rsc.org
Along with the expanding use of engineered metal oxide nanomaterials (MONMs), there is a
growing concern over their unintentional adverse toxicological effects on human health and …

The index of ideality of correlation: a criterion of predictive potential of QSPR/QSAR models?

AA Toropov, AP Toropova - Mutation Research/Genetic Toxicology and …, 2017‏ - Elsevier
The index of ideality of correlation (IIC) is a new criterion of the predictive potential of
quantitative structure–property/activity relationships (QSPRs/QSARs). This IIC is calculated …