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 …
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 …
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
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 …
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 …
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 …
unintentional exposure to engineered nanoparticles (NPs), raising concerns over their …
[HTML][HTML] A machine learning tool to predict the antibacterial capacity of nanoparticles
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 …
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
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 …
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 …
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 …
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
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 …
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 …
translation of artificial intelligence (AI) into materials science is challenging, where biological …