Where is nano today and where is it headed? A review of nanomedicine and the dilemma of nanotoxicology

C Domingues, A Santos, C Alvarez-Lorenzo… - ACS …, 2022 - ACS Publications
Worldwide nanotechnology development and application have fueled many scientific
advances, but technophilic expectations and technophobic demands must be …

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 …

Representing and describing nanomaterials in predictive nanoinformatics

E Wyrzykowska, A Mikolajczyk, I Lynch… - Nature …, 2022 - nature.com
Engineered nanomaterials (ENMs) enable new and enhanced products and devices in
which matter can be controlled at a near-atomic scale (in the range of 1 to 100 nm) …

Advancing computational toxicology by interpretable machine learning

X Jia, T Wang, H Zhu - Environmental Science & Technology, 2023 - ACS Publications
Chemical toxicity evaluations for drugs, consumer products, and environmental chemicals
have a critical impact on human health. Traditional animal models to evaluate chemical …

Machine learning and materials informatics approaches in the analysis of physical properties of carbon nanotubes: A review

LE Vivanco-Benavides, CL Martínez-González… - Computational Materials …, 2022 - Elsevier
Abstract Machine learning has proven to be technically flexible in recent years, which allows
it to be successfully implemented in problems in various areas of knowledge. Carbon …

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 …

Role of artificial intelligence and machine learning in nanosafety

DA Winkler - Small, 2020 - Wiley Online Library
Robotics and automation provide potentially paradigm shifting improvements in the way
materials are synthesized and characterized, generating large, complex data sets that are …

[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 …

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 …

Regulation of cell uptake and cytotoxicity by nanoparticle core under the controlled shape, size, and surface chemistries

X Bai, S Wang, X Yan, H Zhou, J Zhan, S Liu… - ACS …, 2019 - ACS Publications
Nanoparticle structural parameters, such as size, surface chemistry, and shape, are well-
recognized parameters that affect biological activities of nanoparticles. However, whether …