About this Event
Computational Toxicology
Practical advice on the use of QSAR models and read across approaches in the ISO 10993-17:2023 standard and ICH Q3E (draft) guideline.
Join Ron Brown, Principal Toxicologist, Risk Science Consortium for a one-day course which will provide instruction on the use of computational approaches to predict the toxicity of data-poor extractable & leachable (E&L) compounds and the rate at which they migrate from pharmaceutical packaging, drug delivery devices, and medical devices. This course will also discuss how to use these model-derived estimates of toxicity and dose in a safety assessment of E&L compounds.
Lunch and coffee breaks included in ticket price.
LEARNING MODULES
When to use computational approaches.
Using open-source exposure models to predict patient exposure to leachables.
Using open-source QSAR models and expert systems to predict toxicological hazards.
Using Read Across and grouping methods to derive Tolerable Intake/Permitted Daily Exposure values.
Using model-derived predictions of exposure and toxicity in a safety assessment.
Hands-on use of models, presentation of case studies, and Q&A.
Agenda
?: 09:00 AM - 05:00 PM
Computational Toxicology
Host: Ron Brown
Event Venue & Nearby Stays
333 N Washington Ave, 333 North Washington Avenue, Minneapolis, United States
USD 560.10
