VICT3R: Building Trust in Virtual Animal Models to Reduce, Refine, Risk the Cost & Animal Use in Toxicology
- Overview of VICT3R and Virtual Control Groups (VCGs): rationale in the context of current global regulatory changes, and how using statistical methods and AI on historical control data can reduce animal use by up to 25%, supporting ethical innovation in toxicology
- Qualification strategy to demonstrate scientific validity, robustness, and reproducibility of studies including VCGs – examples from reanalysed legacy studies and ongoing prospective studies with industry partners and CROs
- Regulatory engagement and leveraging global partnerships to translate VCG qualification results into scientific opinions and internationally harmonised guidance documents – overview of our interactions with EMA, FDA, and OECD, and the role of the Scientific and Regulatory Advisory Board