AOP-Informed Predictive Modeling Approaches for Regulatory Toxicology (AOP-Informed Predictive Modeling Approaches for Regulatory Toxicology)
Owner/Developer: Joint Research Centre (EURL ECVAM) (JRC (EURL ECVAM))
24 September 2015
Invited international experts in computational modeling, toxicology, and risk assessment from academia, government, and the private sector came together to explore the scientific opportunities and stimulate greater communication and collaboration between the AOP development and computational modeling communities. Modelers were introduced to the principles and practice of AOP description and invited to think about how this systematic organization of knowledge could aid model development. A number of case examples exploring the different ways models and AOPs could be integrated to address regulatory challenges were discussed. Issues related to regulatory uptake and application were considered. Finally, the group discussed ways to further engage the modeling community in the endeavor of AOP-informed predictive toxicology.
Optional / Voluntary
Researchers, Regulators and policy-makers
Academia, Industry, Governmental bodies
Continuing Professional Development, University (Doctoral education), Postdoctoral (teaching and research)
Partial coverage (e.g. a module)
No species is addressed specifically
|Course level on animal species:||
Basic course, Advanced course
|Details on the topic or technology covered:||
HOW CAN AOPs INFORM COMPUTATIONAL MODEL DEVELOPMENT?
CASE EXAMPLES OF AOP-INFORMED COMPUTATIONAL PREDICTION MODELS
ENSURING AOP INFORMED PREDICTIVE MODELS ARE FIT FOR REGULATORY PURPOSES
Test guidelines (OECD, ISO, etc.)
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