Tuberculosis (TB) remains a serious threat to global public health, responsible for an
estimated 1.5 million mortalities in 2018. While there are available therapeutics for this …

Cancer is one of the biggest medical challenges we face today. It is characterized by
abnormal, uncontrolled growth of cells that can spread to different parts of the body. Cancer …

Engineered nanomaterials (ENMs) are being developed to meet specific application needs
in diverse domains across the engineering and biomedical sciences (eg drug delivery) …

Background: The NanoSafety Cluster, a cluster of projects funded by the European
Commision, identified the need for a computational infrastructure for toxicological data …

The ML-Schema, proposed by the W3C Machine Learning Schema Community Group, is a
top-level ontology that provides a set of classes, properties, and restrictions for representing …

Traditional results from toxicogenomics studies are complex lists of significantly impacted
genes or gene sets, which are challenging to synthesize down to actionable results with a …

Developmental neurotoxicity entails one of the most complex areas in toxicology. Animal
studies provide only limited information as to human relevance. A multitude of alternative …

Modern toxicology is evolving to leverage data science approaches to better address
complex public health concerns. Understanding the adverse health impacts of exposure is a …

Currently, the public has access to a variety of databases containing mutagenicity and
carcinogenicity data. These resources are crucial for the toxicologists and regulators …

Abstract Knowledge of the genotoxicity and carcinogenicity potential of chemical substances
is one of the key scientific elements able to better protect human health. Genotoxicity …