Using Machine Learning to Predict Adverse Effects of Metallic Nanomaterials to Various Aquatic Organisms

Machine Learning Models for Predicting Cytotoxicity of Nanomaterials

(2022) Zuowei Ji et al.   CHEMICAL RESEARCH IN TOXICOLOGY

Developing random forest based QSAR models for predicting the mixture toxicity of TiO2 based nano-mixtures to Daphnia magna

(2022) Tung X. Trinh et al.   NanoImpact

Development of a Quasi–Quantitative Structure–Activity Relationship Model for Prediction of the Immobilization Response of Daphnia magna Exposed to Metal‐Based Nanomaterials

(2022) Warisa Bunmahotama et al.   ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY

Potential application of Au core labeling for tracking Ag nanoparticles in the aquatic and biological system

(2022) Dingyuan Liang et al.   WATER RESEARCH

The stochastic association of nanoparticles with algae at the cellular level: Effects of NOM, particle size and particle shape

(2021) Fazel Abdolahpur Monikh et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

Using quasi-SMILES for the predictive modeling of the safety of 574 metal oxide nanoparticles measured in different experimental conditions

(2021) Alla P. Toropova et al.   ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY

Metallic, metal oxide, and metalloid nanoparticles toxic effects on freshwater microcrustaceans: an update and basis for the use of new test species

(2021) María Florencia Gutierrez et al.   WATER ENVIRONMENT RESEARCH

A Machine Learning Tool to Predict the Antibacterial Capacity of Nanoparticles

(2021) Mahsa Mirzaei et al.   Nanomaterials

Nanotoxicology data for in silico tools: a literature review

(2020) Irini Furxhi et al.   Nanotoxicology

Practices and Trends of Machine Learning Application in Nanotoxicology

(2020) Irini Furxhi et al.   Nanomaterials

Machine-Learning-Based Approach to Decode the Influence of Nanomaterial Properties on Their Interaction with Cells

(2020) Ajay Vikram Singh et al.   ACS Applied Materials & Interfaces

Advances and challenges towards consumerization of nanomaterials

(2020) Steffen Foss Hansen et al.   Nature Nanotechnology

Species Sensitivity to Toxic Substances: Evolution, Ecology and Applications

(2020) David Spurgeon et al.   Frontiers in Environmental Science

Climatic controls of decomposition drive the global biogeography of forest-tree symbioses

(2019) B. S. Steidinger et al.   NATURE

Physically informed artificial neural networks for atomistic modeling of materials

(2019) G. P. Purja Pun et al.   Nature Communications

Chemometric Evaluation of the Link between Acute Toxicity, Health Issues and Physicochemical Properties of Silver Nanoparticles

(2019) Nedyalkova et al.   Symmetry-Basel

Visible-light reduced silver nanoparticles’ toxicity in Allium cepa test system

(2019) Irisdoris R. Souza et al.   ENVIRONMENTAL POLLUTION

Evaluating genotoxicity of metal oxide nanoparticles: Application of advanced supervised and unsupervised machine learning techniques

(2019) Natalia Sizochenko et al.   ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY

Machine Learning in Nanoscience: Big Data at Small Scales

(2019) Keith A. Brown et al.   NANO LETTERS

Developing species sensitivity distributions for metallic nanomaterials considering the characteristics of nanomaterials, experimental conditions, and different types of endpoints

(2018) Guangchao Chen et al.   FOOD AND CHEMICAL TOXICOLOGY

Toxicity of mixtures of zinc oxide and graphene oxide nanoparticles to aquatic organisms of different trophic level: particles outperform dissolved ions

(2018) Nan Ye et al.   Nanotoxicology

Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources

(2018) Jang-Sik Choi et al.   Scientific Reports

How to judge whether QSAR/read-across predictions can be trusted: a novel approach for establishing a model's applicability domain

(2018) A. Gajewicz   Environmental Science-Nano

Risks, Release and Concentrations of Engineered Nanomaterial in the Environment

(2018) Bernd Giese et al.   Scientific Reports

Predicting risk for adverse health events using random forest

(2017) Guy Cafri et al.   JOURNAL OF APPLIED STATISTICS

The way to cover prediction for cytotoxicity for all existing nano-sized metal oxides by using neural network method

(2017) Natalja Fjodorova et al.   Nanotoxicology

Predicting toxic potencies of metal oxide nanoparticles by means of nano-QSARs

(2016) Yunsong Mu et al.   Nanotoxicology

Meta-analysis of cellular toxicity for cadmium-containing quantum dots

(2016) Eunkeu Oh et al.   Nature Nanotechnology

Influence of exposure time on toxicity—An overview

(2016) Des W. Connell et al.   TOXICOLOGY

Directly Predicting Water Quality Criteria from Physicochemical Properties of Transition Metals

(2016) Ying Wang et al.   Scientific Reports

P value interpretations and considerations

(2016) Matthew S. Thiese et al.   Journal of Thoracic Disease

(Q)SAR modelling of nanomaterial toxicity: A critical review

(2015) Ceyda Oksel et al.   Particuology

Linear and non-linear modelling of the cytotoxicity of TiO2and ZnO nanoparticles by empirical descriptors

(2015) E. Papa et al.   SAR AND QSAR IN ENVIRONMENTAL RESEARCH

NanoE-Tox: New and in-depth database concerning ecotoxicity of nanomaterials

(2015) Katre Juganson et al.   Beilstein Journal of Nanotechnology

Comparative Cytotoxicity Study of Silver Nanoparticles (AgNPs) in a Variety of Rainbow Trout Cell Lines (RTL-W1, RTH-149, RTG-2) and Primary Hepatocytes

(2015) Mona Connolly et al.   International Journal of Environmental Research and Public Health

Effects of ultraviolet light on silver nanoparticle mobility and dissolution

(2015) Anjuliee M. Mittelman et al.   Environmental Science-Nano

Molecular toxicity mechanism of nanosilver

(2014) Danielle McShan et al.   JOURNAL OF FOOD AND DRUG ANALYSIS

Nano-quantitative structure–activity relationship modeling using easily computable and interpretable descriptors for uptake of magnetofluorescent engineered nanoparticles in pancreatic cancer cells

(2014) Supratik Kar et al.   TOXICOLOGY IN VITRO

Influence of Humic Acid on Titanium Dioxide Nanoparticle Toxicity to Developing Zebrafish

(2013) Sarah P. Yang et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Silver nanoparticles and silver nitrate induce high toxicity to Pseudokirchneriella subcapitata, Daphnia magna and Danio rerio

(2013) Fabianne Ribeiro et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Geno- and Ecotoxicity Evaluation of Silver Nanoparticles in Freshwater Crustacean Daphnia magna

(2010) Sun-Young Park et al.   Environmental Engineering Research

Aggregation and toxicity of titanium dioxide nanoparticles in aquatic environment—A Review

(2009) Virender K. Sharma   JOURNAL OF ENVIRONMENTAL SCIENCE AND HEALTH PART A-TOXIC/HAZARDOUS SUBSTANCES & ENVIRONMENTAL ENGINEERING

Chemical Synthesis of Novel Plasmonic Nanoparticles

(2008) Xianmao Lu et al.   Annual Review of Physical Chemistry