Advancing Predictive Risk Assessment of Chemicals via Integrating Machine Learning, Computational Modeling, and Chemical/Nano‐Quantitative Structure‐Activity …

AV Singh, M Varma, M Rai… - Advanced Intelligent …, 2024 - Wiley Online Library
The escalating use of novel chemicals and nanomaterials (NMs) across diverse sectors
underscores the need for advanced risk assessment methods to safeguard human health …

Recent advances in immunosafety and nanoinformatics of two-dimensional materials applied to nano-imaging

GH Da Silva, LS Franqui, R Petry, MT Maia… - Frontiers in …, 2021 - frontiersin.org
Two-dimensional (2D) materials have emerged as an important class of nanomaterials for
technological innovation due to their remarkable physicochemical properties, including …

[HTML][HTML] Exploring the potential of in silico machine learning tools for the prediction of acute Daphnia magna nanotoxicity

S Balraadjsing, WJGM Peijnenburg, MG Vijver - Chemosphere, 2022 - Elsevier
Engineered nanomaterials (ENMs) are ubiquitous nowadays, finding their application in
different fields of technology and various consumer products. Virtually any chemical can be …

Machine learning-based models to predict aquatic ecological risk for engineered nanoparticles: using hazard concentration for 5% of species as an endpoint

Q Qi, Z Wang - Environmental Science and Pollution Research, 2024 - Springer
Assessment and prediction for the ecotoxicity of engineered nanoparticles (ENPs) at the
community or ecosystem levels represents a critical step toward a comprehensive …

Machine Learning Allowed Interpreting Toxicity of a Fe-Doped CuO NM Library Large Data Set─ An Environmental In Vivo Case Study

JJ Scott-Fordsmand, SIL Gomes… - … applied materials & …, 2024 - ACS Publications
The wide variation of nanomaterial (NM) characters (size, shape, and properties) and the
related impacts on living organisms make it virtually impossible to assess their safety; the …

Bioinformatics and machine learning to support nanomaterial grouping

A Bahl, S Halappanavar, W Wohlleben, P Nymark… - …, 2024 - Taylor & Francis
Nanomaterials (NMs) offer plenty of novel functionalities. Moreover, their physicochemical
properties can be fine-tuned to meet the needs of specific applications, leading to virtually …

Optimized Bags of Artificial Neural Networks Can Predict the Viability of Organisms Exposed to Nanoparticles

RD Senanayake, CA Daly Jr… - The Journal of Physical …, 2024 - ACS Publications
Prediction of organismal viability upon exposure to a nanoparticle in varying environments─
as fully specified at the molecular scale─ has emerged as a useful figure of merit in the …

Linking nanomaterial-induced mitochondrial dysfunction to existing adverse outcome pathways for chemicals

S Murugadoss, IV Vrček, A Schaffert… - ALTEX …, 2024 - repozytorium.bg.ug.edu.pl
The Adverse Outcome Pathway (AOP) framework plays a crucial role in the paradigm shift of
toxicity testing towards the development and use of new approach methodologies. AOPs …

[HTML][HTML] Structure-activity relationship of graphene-related materials: A meta-analysis based on mammalian in vitro toxicity data

D Romeo, C Louka, B Gudino, J Wigström, P Wick - NanoImpact, 2022 - Elsevier
To support a safe application of graphene-related materials (GRMs) it is necessary to
understand the potential negative impacts they could have on human health, in particular on …

Recent Advances in Immunosafety and Nanoinformatics of Two-Dimensional Materials Applied to Nano-imaging

D Boraschi, P Italiani, MP Madej… - … Effects of Nano …, 2022 - books.google.com
Two-dimensional (2D) materials have emerged as an important class of nanomaterials for
technological innovation due to their remarkable physicochemical properties, including …