AIMC Topic: Toxicity Tests

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Anticancer activity of biologically synthesized silver and gold nanoparticles on mouse myoblast cancer cells and their toxicity against embryonic zebrafish.

Materials science & engineering. C, Materials for biological applications Dec 23, 2016
The aim of this study was to evaluate the anticancer activity of bioinspired silver nanoparticles (AgNPs) and gold nanoparticles (AuNPs) against mouse myoblast cancer cells (CC). Both AgNPs and AuNPs were biologically synthesized using Spinacia olera...
Embryo, Nonmammalian Acridine Orange Cell Shape Ethidium Photoacoustic Techniques Myoblasts Metal Nanoparticles Spinacia oleracea Cell Survival Toxicity Tests Plant Leaves Animals Silver X-Ray Diffraction Gold Mice Antineoplastic Agents Zebrafish Staining and Labeling Caspases Cell Line, Tumor Plant Extracts Apoptosis
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Robust modelling of acute toxicity towards fathead minnow (Pimephales promelas) using counter-propagation artificial neural networks and genetic algorithm.

SAR and QSAR in environmental research Jun 20, 2016
Large worldwide use of chemicals has caused great concern about their possible adverse effects on human health, flora and fauna. Increased production of new chemicals has also increased demand for their risk assessment. Traditionally, results from an...
Organic Chemicals Quantitative Structure-Activity Relationship Toxicity Tests Cyprinidae Computer Simulation Animals Risk Assessment Neural Networks, Computer Algorithms
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Cytotoxicity of chitosan/streptokinase nanoparticles as a function of size: An artificial neural networks study.

Nanomedicine : nanotechnology, biology, and medicine Sep 25, 2015
Predicting the size and toxicity of chitosan/streptokinase nanoparticles at various values of processing parameters was the aim of this study. For the first time, a comprehensive model could be developed to determine the cytotoxicity of the nanoparti...
Drug Evaluation, Preclinical Nanocomposites Pattern Recognition, Automated Toxicity Tests Neural Networks, Computer Streptokinase Algorithms Reproducibility of Results Sensitivity and Specificity Chitosan Dose-Response Relationship, Drug Particle Size Cell Survival Structure-Activity Relationship Hydrogen-Ion Concentration
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Probabilistic hazard assessment for skin sensitization potency by dose-response modeling using feature elimination instead of quantitative structure-activity relationships.

Journal of applied toxicology : JAT Jun 5, 2015
Supervised learning methods promise to improve integrated testing strategies (ITS), but must be adjusted to handle high dimensionality and dose-response data. ITS approaches are currently fueled by the increasing mechanistic understanding of adverse ...
Humans Machine Learning Toxicity Tests Animal Testing Alternatives Skin Tests Local Lymph Node Assay Hydrocarbons, Brominated Algorithms Dose-Response Relationship, Drug Databases, Factual Skin Risk Assessment Markov Chains Quantitative Structure-Activity Relationship
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The potential of AOP networks for reproductive and developmental toxicity assay development.

Reproductive toxicology (Elmsford, N.Y.) Apr 15, 2015
Historically, the prediction of reproductive and developmental toxicity has largely relied on the use of animals. The adverse outcome pathway (AOP) framework forms a basis for the development of new non-animal test methods. It also provides biologica...
Toxicity Tests Animal Testing Alternatives Systems Integration Fetal Development Computer Simulation Gene Expression Regulation, Developmental Pregnancy Humans Models, Biological Female Knowledge Bases Risk Assessment Animals Reproduction Gene Regulatory Networks Signal Transduction Embryonic Development
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Predicting in vitro assays related to liver function using probabilistic machine learning.

Toxicology Sep 1, 2025
While machine learning has gained traction in toxicological assessments, the limited data availability requires the quantification of uncertainty of in silico predictions for reliable decision-making. This study addresses the challenge of predicting ...
Humans Machine Learning Reactive Oxygen Species Hepatocytes Toxicity Tests Computer Simulation Chemical and Drug Induced Liver Injury Animals Liver
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Machine learning-driven nanoparticle toxicity.

Ecotoxicology and environmental safety Jul 1, 2025
This study presents a comprehensive machine learning-driven analysis to understand and predict the toxicity of nanoparticles (NPs), a crucial aspect in ensuring the safe application of nanotechnology in medicine, pharmaceuticals, biotechnology, and v...
Humans Machine Learning Cell Survival Nanoparticles Toxicity Tests
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Development of an Interpretable Machine Learning Model for Neurotoxicity Prediction of Environmentally Related Compounds.

Environmental science & technology Jun 10, 2025
The rising prevalence of nervous system disorders has become a significant global health challenge, with environmental pollutants identified as key contributors. However, the large number of environmental related compounds, combined with the low effi...
Humans Data Interpretation, Statistical Environmental Pollutants Machine Learning Toxicity Tests Neurotoxins Risk Assessment Data Science Models, Statistical
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Developmental toxicity: artificial intelligence-powered assessments.

Trends in pharmacological sciences Jun 1, 2025
Regulatory agencies require comprehensive toxicity testing for prenatal drug exposure, including new drugs in development, to reduce concerns about developmental toxicity, that is, drug-induced toxicity and adverse effects in pregnant women and fetus...
Big Data Drug-Related Side Effects and Adverse Reactions Toxicity Tests Pregnancy Female Animals Humans Artificial Intelligence
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TIRESIA and TISBE: Explainable Artificial Intelligence Based Web Platforms for the Transparent Assessment of the Developmental Toxicity of Chemicals and Drugs.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
Developmental toxicity is key human health endpoint, especially relevant for safeguarding maternal and child well-being. It is an object of increasing attention from international regulatory bodies such as the US EPA (US Environmental Protection Agen...
Internet Toxicity Tests Humans Artificial Intelligence Software Animals
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