IHI VICT3R: Developing and Implementing Virtual Control Groups to Reduce Animal Use in Toxicology Research

The virtual control group (VCG) concept was originally developed in the IMI2 project eTRANSAFE, using data of control animals which pharmaceutical companies have accrued over decades from animal toxicity studies. This control data could be repurposed to create virtual control animals to reduce or replace concurrent controls in animal studies. Initial work demonstrated the general feasibility of the VCG concept, but implementation requires significant further collaborative efforts. The new Innovative Health Initiative (IHI) project VICT3R aims to address these challenges and to obtain regulatory acceptance for the VCG concept. To achieve these goals, VICT3R will build a database comprising high-quality, standardized, and duly annotated control animal data from past and forthcoming toxicity studies. The VICT3R project will create workflows and computational tools to generate adequate VCGs based on statistical and artificial intelligence (AI) approaches. The validity, reproducibility, and robustness of the resulting VCGs will be assessed by comparing the performance of their use with that of real control groups.

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Publication Details

Journal
Toxicologic Pathology
Published
2024-12-12
DOI
https://doi.org/10.1177/01926233241303906
Citations
9
Primary Topic
Animal testing and alternatives
Type
article
Field-Weighted Citation Impact
5.74

Funders

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article

IHI VICT3R: Developing and Implementing Virtual Control Groups to Reduce Animal Use in Toxicology Research

Ferrán Sanz, Frank Bringezu, Thomas Steger‐Hartmann, Inari Soininen
9 citations
Toxicologic Pathology
Animal testing and alternatives
5.74
article

IHI VICT3R: Developing and Implementing Virtual Control Groups to Reduce Animal Use in Toxicology Research

Ferrán Sanz, Frank Bringezu, Thomas Steger‐Hartmann, Inari Soininen
article en
9 citations

Abstract

The virtual control group (VCG) concept was originally developed in the IMI2 project eTRANSAFE, using data of control animals which pharmaceutical companies have accrued over decades from animal toxicity studies. This control data could be repurposed to create virtual control animals to reduce or replace concurrent controls in animal studies. Initial work demonstrated the general feasibility of the VCG concept, but implementation requires significant further collaborative efforts. The new Innovative Health Initiative (IHI) project VICT3R aims to address these challenges and to obtain regulatory acceptance for the VCG concept. To achieve these goals, VICT3R will build a database comprising high-quality, standardized, and duly annotated control animal data from past and forthcoming toxicity studies. The VICT3R project will create workflows and computational tools to generate adequate VCGs based on statistical and artificial intelligence (AI) approaches. The validity, reproducibility, and robustness of the resulting VCGs will be assessed by comparing the performance of their use with that of real control groups.

Toxicologic PathologyVol. 53(2)
Merck KGaA, Darmstadt (Germany) (DE), Universitat Pompeu Fabra (ES), Synapse (Spain) (ES), Bayer (Germany) (DE)
Innovative Health Initiative
Partnerships for the goals
Openalex Percentile: Top 3%
Animal testing and alternatives
5.74
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