Artificial intelligence (AI) has the potential to revolutionize the drug discovery process,
offering improved efficiency, accuracy, and speed. However, the successful application of AI …

Toxicity prediction is a critical step in the drug discovery process that helps identify and
prioritize compounds with the greatest potential for safe and effective use in humans, while …

Proteins/peptides have shown to be promising therapeutic agents for a variety of diseases.
However, toxicity is one of the obstacles in protein/peptide-based therapy. The current study …

The use of nanomaterials in medicine depends largely on nanotoxicological evaluation in
order to ensure safe application on living organisms. Artificial intelligence (AI) and machine …

Plasticizers are synthetic chemicals that are commonly used in polyvinyl chloride (PVC)
based products, food packaging, children's toys, medical devices, and adhesives. There are …

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

Ethnopharmacological relevance Plant essential oils (PEOs) extracted from aromatic
compounds of the plant contain complex mixtures of volatile and lipophilic bioactive …

Safety sciences must cope with uncertainty of models and results as well as information
gaps. Acknowledging this uncertainty necessitates embracing probabilities and accepting …

To enhance the resilience of food systems to food safety risks, it is vitally important for
national authorities and international organizations to be able to identify emerging food …

Biotransformation refers to the metabolic conversion of endogenous and xenobiotic
chemicals into more hydrophilic substances. Xenobiotic biotransformation is accomplished …