[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 …

Toxicity prediction based on artificial intelligence: A multidisciplinary overview

E Pérez Santín, R Rodríguez Solana… - Wiley …, 2021 - Wiley Online Library
The use and production of chemical compounds are subjected to strong legislative pressure.
Chemical toxicity and adverse effects derived from exposure to chemicals are key regulatory …

Probing the environmental toxicity of deep eutectic solvents and their components: an in silico modeling approach

AK Halder, MNDS Cordeiro - ACS Sustainable Chemistry & …, 2019 - ACS Publications
Because of the increasing demand of greener solvents, deep eutectic solvents (DES) have
just emerged as low-cost alternative solvents for a broad range of applications. However …

A Safe‐by‐Design strategy towards safer nanomaterials in nanomedicines

L Yan, F Zhao, J Wang, Y Zu, Z Gu… - Advanced Materials, 2019 - Wiley Online Library
The marriage of nanotechnology and medicine offers new opportunities to fight against
human diseases. Benefiting from their unique optical, thermal, magnetic, or redox properties …

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] Using Machine Learning to make nanomaterials sustainable

JJ Scott-Fordsmand, MJB Amorim - Science of The Total Environment, 2023 - Elsevier
Sustainable development is a key challenge for contemporary human societies; failure to
achieve sustainability could threaten human survival. In this review article, we illustrate how …

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 …

[HTML][HTML] A machine learning tool to predict the antibacterial capacity of nanoparticles

M Mirzaei, I Furxhi, F Murphy, M Mullins - Nanomaterials, 2021 - mdpi.com
The emergence and rapid spread of multidrug-resistant bacteria strains are a public health
concern. This emergence is caused by the overuse and misuse of antibiotics leading to the …

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 …

Nanotoxicology data for in silico tools: a literature review

I Furxhi, F Murphy, M Mullins, A Arvanitis… - Nanotoxicology, 2020 - Taylor & Francis
The exercise of non-testing approaches in nanoparticles (NPs) hazard assessment is
necessary for the risk assessment, considering cost and time efficiency, to identify, assess …