AOP-Informed Predictive Modeling Approaches for Regulatory Toxicology
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a dataset collected by the EU Commission in June-September 2018
. Some of these links will therefore die out with time.
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Owner/Developer: Joint Research Centre (EURL ECVAM) (JRC (EURL ECVAM))
| Country: |
Italy |
|---|---|
| Languages: |
English |
| Created: |
24 September 2015 |
| Locations: |
Italy |
| City: |
Ispra |
| Description: | 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. |
| References: | https://academic.oup.com/toxsci/article/155/2/326/2703131 |
| Format: |
Workshops |
| Presence: |
Optional / Voluntary |
| Content type: |
Theoretical |
| Duration: |
2 days |
| Frequency: |
One-time event |
| Target audience: |
Researchers, Regulators and policy-makers |
| Target sectors: |
Academia, Industry, Governmental bodies |
| Educational level: |
Continuing Professional Development, University (Doctoral education), Postdoctoral (teaching and research) |
| 3rs relevance: |
Replacement |
| Topics covered: |
Computational methods |
| 3rs coverage: |
Partial coverage (e.g. a module) |
| Species covered: |
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 |
| Legislative framework: |
Test guidelines (OECD, ISO, etc.) |
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