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 …

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 …

A novel quantitative read-across tool designed purposefully to fill the existing gaps in nanosafety data

M Chatterjee, A Banerjee, P De… - Environmental …, 2022 - pubs.rsc.org
In the current time, the number of various engineered nanomaterials (NMs) and
nanoparticles (NPs) is increasing at a steady pace due to the new developments in the field …

[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 …

[HTML][HTML] 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] 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 …

[HTML][HTML] 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 …

Evaluating metal oxide nanoparticle (MeOx NP) toxicity with different types of nano descriptors mainly focusing on simple periodic table-based descriptors: a mini …

J Roy, K Roy - Environmental Science: Nano, 2023 - pubs.rsc.org
Given the rapid growth of nanotechnology, it is essential to know the hazardous effects of
metal oxide nanoparticles (MeOx NPs) posed to the living organisms within the ecosystem …

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 …

Quantitative prediction of inorganic nanomaterial cellular toxicity via machine learning

N Shirokii, Y Din, I Petrov, Y Seregin, S Sirotenko… - Small, 2023 - Wiley Online Library
Organic chemistry has seen colossal progress due to machine learning (ML). However, the
translation of artificial intelligence (AI) into materials science is challenging, where biological …