AIMC Topic: Animal Testing Alternatives
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Estimation of the chemical-induced eye injury using a Weight-of-Evidence (WoE) battery of 21 artificial neural network (ANN) c-QSAR models (QSAR-21): part II: corrosion potential.
Regulatory toxicology and pharmacology : RTP
Dec 12, 2014
This is part II of an in silico investigation of chemical-induced eye injury that was conducted at FDA's CFSAN. Serious eye damage caused by chemical (eye corrosion) is assessed using the rabbit Draize test, and this endpoint is an essential part of ...
Estimation of the chemical-induced eye injury using a weight-of-evidence (WoE) battery of 21 artificial neural network (ANN) c-QSAR models (QSAR-21): part I: irritation potential.
Regulatory toxicology and pharmacology : RTP
Dec 8, 2014
Evaluation of potential chemical-induced eye injury through irritation and corrosion is required to ensure occupational and consumer safety for industrial, household and cosmetic ingredient chemicals. The historical method for evaluating eye irritant...
Using explainable machine learning to predict the irritation and corrosivity of chemicals on eyes and skin.
Toxicology letters
May 15, 2025
Contact with specific chemicals often results in corrosive and irritative responses in the eyes and skin, playing a pivotal role in assessing the potential hazards of personal care products, cosmetics, and industrial chemicals to human health. While ...
Challenges and opportunities for validation of AI-based new approach methods.
ALTEX
Jan 1, 2025
The integration of artificial intelligence (AI) into new approach methods (NAMs) for toxicology rep-resents a paradigm shift in chemical safety assessment. Harnessing AI appropriately has enormous potential to streamline validation efforts. This revi...
E-validation - Unleashing AI for validation.
ALTEX
Jan 1, 2024
The validation of new approach methods (NAMs) in toxicology faces significant challenges, including the integration of diverse data, selection of appropriate reference chemicals, and lengthy, resource-intensive consensus processes. This article propo...
Alternative methods go green! Green toxicology as a sustainable approach for assessing chemical safety and designing safer chemicals.
ALTEX
Jan 1, 2024
Green toxicology is marching chemistry into the 21st century. This emerging framework will transform how chemical safety is evaluated by incorporating evaluation of the hazards, exposures, and risks associated with chemicals into early product develo...
ToxAIcology - The evolving role of artificial intelligence in advancing toxicology and modernizing regulatory science.
ALTEX
Jan 1, 2023
Toxicology has undergone a transformation from an observational science to a data-rich discipline ripe for artificial intelligence (AI) integration. The exponential growth in computing power coupled with accumulation of large toxicological datasets h...
[AI-based QSAR Modeling for Prediction of Active Compounds in MIE/AOP].
Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan
Jan 1, 2020
Toxicity testing is critical for new drug and chemical development process. A clinical study, experimental animal models, and in vitro study are performed to evaluate the safety of a new drug. The limitations of these methods include extensive time f...
Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships (RASAR) Outperforming Animal Test Reproducibility.
Toxicological sciences : an official journal of the Society of Toxicology
Sep 1, 2018
Earlier we created a chemical hazard database via natural language processing of dossiers submitted to the European Chemical Agency with approximately 10 000 chemicals. We identified repeat OECD guideline tests to establish reproducibility of acute o...
Evaluation of (indigenous drug) as oxidative stress down-regulator using serum-free explant culture system.
Indian journal of pharmacology
Jan 1, 2018
CONTEXT: The importance of phytochemicals/natural products as potential therapeutic agents in the present context is gaining a lot of importance. India with a rich heritage of such preparations needs evaluation as potent drugs. Explant culture system...
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