Because undesirable pharmacokinetics and toxicity are significant reasons for the failure of
drug development in the costly late stage, it has been widely recognized that drug ADMET …

Hundreds of xenobiotics, with very diverse origins, have been detected in human milk,
including contaminants of emerging concern, personal care products and other current-use …

Background Quantitative structure-activity relationship (QSAR) is a computational modeling
method for revealing relationships between structural properties of chemical compounds …

AI-aided drug discovery (AIDD) is gaining increasing popularity due to its promise of making
the search for new pharmaceuticals quicker, cheaper and more efficient. In spite of its …

In life cycle assessment, characterization factors are used to convert the amount of the
chemicals and other pollutants generated in a product's life cycle to the standard unit of an …

A life cycle assessment (LCA) practitioner is often faced with the problem of missing
chemical life cycle inventory (LCI) data sets, as current databases cover only a small fraction …

Dendritic nanovectors-based drug delivery has gained significant attention in the past
couple of decades. Dendrimers play a crucial role in deciding the solubility of sparingly …

Read-across is a popular data gap filling technique used within analogue and category
approaches for regulatory purposes. In recent years there have been many efforts focused …

Consensus strategies have been widely applied in many different scientific fields, based on
the assumption that the fusion of several sources of information increases the outcome …

To keep pace with its rapid development an efficient approach for the risk assessment of
nanomaterials is needed. Grouping concepts as developed for chemicals are now being …