AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Animal Testing Alternatives

Showing 1 to 10 of 29 articles

Clear Filters

RespiraTox - Development of a QSAR model to predict human respiratory irritants.

Regulatory toxicology and pharmacology : RTP
Respiratory irritation is an important human health endpoint in chemical risk assessment. There are two established modes of action of respiratory irritation, 1) sensory irritation mediated by the interaction with sensory neurons, potentially stimula...

Replacement of animal testing by integrated approaches to testing and assessment (IATA): a call for in vivitrosi.

Archives of toxicology
Alternative methods to animal use in toxicology are evolving with new advanced tools and multilevel approaches, to answer from one side to 3Rs requirements, and on the other side offering relevant and valid tests for drugs and chemicals, considering ...

ToxAIcology - The evolving role of artificial intelligence in advancing toxicology and modernizing regulatory science.

ALTEX
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...

E-validation - Unleashing AI for validation.

ALTEX
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...

The probable future of toxicology - probabilistic risk assessment.

ALTEX
Both because of the shortcomings of existing risk assessment methodologies, as well as newly available tools to predict hazard and risk with machine learning approaches, there has been an emerging emphasis on probabilistic risk assessment. Increasing...

Alternative methods go green! Green toxicology as a sustainable approach for assessing chemical safety and designing safer chemicals.

ALTEX
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...

Hybrid non-animal modeling: A mechanistic approach to predict chemical hepatotoxicity.

Journal of hazardous materials
Developing mechanistic non-animal testing methods based on the adverse outcome pathway (AOP) framework must incorporate molecular and cellular key events associated with target toxicity. Using data from an in vitro assay and chemical structures, we a...

Report of the First ONTOX Hackathon: Hack to Save Lives and Avoid Animal Suffering. The Use of Artificial Intelligence in Toxicology - A Potential Driver for Reducing/Replacing Laboratory Animals in the Future.

Alternatives to laboratory animals : ATLA
The first ONTOX Hackathon of the EU Horizon 2020-funded ONTOX project was held on 21-23 April 2024 in Utrecht, The Netherlands (https://ontox-project.eu/hackathon/). This participatory event aimed to collectively advance innovation for human safety t...

Challenges and opportunities for validation of AI-based new approach methods.

ALTEX
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...

Using explainable machine learning to predict the irritation and corrosivity of chemicals on eyes and skin.

Toxicology letters
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 ...