Exposure to environmental organic pollutants has triggered significant ecological impacts
and adverse health outcomes, which have been received substantial and increasing …

More information about a person's genetic makeup, drug response, multi-omics response,
and genomic response is now available leading to a gradual shift towards personalized …

Robust and efficient processes are needed to establish scientific confidence in new
approach methodologies (NAMs) if they are to be considered for regulatory applications …

Abstract The Open Targets Platform (https://www. targetvalidation. org/) provides users with
a queryable knowledgebase and user interface to aid systematic target identification and …

Machine learning (ML) models to predict the toxicity of small molecules have garnered great
attention and have become widely used in recent years. Computational toxicity prediction is …

Drug discovery and development are among the most important translational science
activities that contribute to human health and wellbeing. However, the development of a new …

Increased food demands and ceasing nutrient deposits have resulted in a great shortfall
between the food supply and demand and would be worse in the years to come. Higher …

Chemical toxicity evaluations for drugs, consumer products, and environmental chemicals
have a critical impact on human health. Traditional animal models to evaluate chemical …

Current approaches for the assessment of environmental and human health risks due to
exposure to chemical substances have served their purpose reasonably well. Nevertheless …

Recently, research on the development of artificial intelligence (AI)-based computational
toxicology models that predict toxicity without the use of animal testing has emerged …