NAM-based Assessment to Classify Chemicals for Systemic Toxicity Effect
Prachi Pradeep(Research Triangle Park Foundation), Sebastian Schmeisser(Federal Institute for Risk Assessment), Ralph Pirow(Federal Institute for Risk Assessment), Matthias Herzler
OpenAgrar
January 1, 2025
Cited by 0
Related Papers
CATMoS: Collaborative Acute Toxicity Modeling Suite
|Environmental Health Perspectives|2021|145
Navigating through the minefield of read-across tools: A review of in silico tools for grouping
|Computational Toxicology|2017|113
Genotoxicity assessment: opportunities, challenges and perspectives for quantitative evaluations of dose–response data
|Archives of Toxicology|2023|84
Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels
|Computational Toxicology|2020|66
AI and ML-based risk assessment of chemicals: predicting carcinogenic risk from chemical-induced genomic instability
|Frontiers in Toxicology|2024|66