Converting nanotoxicity data to information using artificial intelligence and simulation

X Yan, T Yue, DA Winkler, Y Yin, H Zhu… - Chemical …, 2023 - ACS Publications
Decades of nanotoxicology research have generated extensive and diverse data sets.
However, data is not equal to information. The question is how to extract critical information …

Nanoparticle-based drug delivery system: the magic bullet for the treatment of chronic pulmonary diseases

S Pramanik, S Mohanto, R Manne… - Molecular …, 2021 - ACS Publications
Chronic pulmonary diseases encompass different persistent and lethal diseases, including
chronic obstructive pulmonary disease (COPD), idiopathic pulmonary fibrosis (IPF), cystic …

Application of machine learning in atmospheric pollution research: A state-of-art review

Z Peng, B Zhang, D Wang, X Niu, J Sun, H Xu… - Science of the Total …, 2023 - Elsevier
Abstract Machine learning (ML) is an artificial intelligence technology that has been used in
atmospheric pollution research due to their powerful fitting ability. In this review, 105 articles …

Construction of a web-based nanomaterial database by big data curation and modeling friendly nanostructure annotations

X Yan, A Sedykh, W Wang, B Yan, H Zhu - Nature communications, 2020 - nature.com
Modern nanotechnology research has generated numerous experimental data for various
nanomaterials. However, the few nanomaterial databases available are not suitable for …

[HTML][HTML] Exploring the liver fibrosis induced by deltamethrin exposure in quails and elucidating the protective mechanism of resveratrol

S Li, X Zheng, X Zhang, H Yu, B Han, Y Lv, Y Liu… - Ecotoxicology and …, 2021 - Elsevier
Deltamethrin (DLM) is widely used in agriculture and the prevention of human insect-borne
diseases. However, the molecular mechanism of DLM induced liver injury remains unclear …

Machine learning boosts the design and discovery of nanomaterials

Y Jia, X Hou, Z Wang, X Hu - ACS Sustainable Chemistry & …, 2021 - ACS Publications
Nanomaterials (NMs) have developed quickly and cover various fields, but research on
nanotechnology and NMs largely relies on costly experiments or complex calculations (eg …

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 …

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 …

Photochemical impacts on the toxicity of PM2.5

J Xu, W Hu, D Liang, P Gao - Critical Reviews in Environmental …, 2022 - Taylor & Francis
Abstract Fine particulate matter (PM2. 5) is one of the main pollutants in the atmosphere and
poses a huge threat to public health. Secondary aerosol pollutants that are formed by …

Nanosafety: an evolving concept to bring the safest possible nanomaterials to society and environment

F Lebre, N Chatterjee, S Costa… - Nanomaterials, 2022 - mdpi.com
The use of nanomaterials has been increasing in recent times, and they are widely used in
industries such as cosmetics, drugs, food, water treatment, and agriculture. The rapid …