… Mechanistic toxicology revolves around investigating the … However, all case-studies show
that the approach is highly … This is summarized in a final review of the conducted case studies …

… acute toxicity and oral acute toxicity … models more flexible for better performance. We
combined UG and CNN with the attention mechanism to construct our deep GACNN learning model …

… Mechanistic qAOP models utilise mathematical functions … in understanding the mechanism
of toxicity and associated … population level, and organ toxicity, eg chronic kidney disease, …

… Such validation tests are of utmost importance for uncovering the mechanism of toxicity
and for the development of novel biomarkers, in particular with regard to neurotoxicity. …

… network model of QFPD, established by predicting and collecting the targets of identified
compounds, indicated a pivotal role … the syndrome of dirty-toxicity blocking lung and the …

… Systemic toxicity was assessed using a battery of in vitro NAMs to identify points of …
case study demonstrated the value of integrating exposure science, computational modeling …

… Case study prototypes indicating how these new approaches to toxicity testing, exposure …
developed to aid the use of mechanistic studies in chemical risk assessment and especially …

… Here we highlight how mechanistic information that is increasingly available for a range of
… support more mechanistically driven toxicology including by the identification and analysis of …

… by presenting a comparative analysis of the IC 50 values for cytotoxicity and mechanistic
endpoints, obtained either with two-dimensional (2D) and 3D in vitro systems for the classical …

… A systematic analysis of the network regulation mechanism of 47 health-strengthening (Fu-Zheng)
TCM herbs commonly used in cancer treatment was carried out, suggesting the …