Ban Animal Testing and Research
Home
Our blog
Our FOI work
Outreach resources
Resources for Researchers
Resources for MP's
Ban Animal Testing and Research
Home
Our blog
Our FOI work
Outreach resources
Resources for Researchers
Resources for MP's
More
  • Home
  • Our blog
  • Our FOI work
  • Outreach resources
  • Resources for Researchers
  • Resources for MP's
  • Home
  • Our blog
  • Our FOI work
  • Outreach resources
  • Resources for Researchers
  • Resources for MP's

Campaign downloads

LATEST - Farmed Salmon Lack of oversight report .

The files on this page are suitable for working with MP's, investors  and business. They show the science that is animal free, market and potential of the growth and management of animal free research (December 2025) These files will be updated regularly. They include a chamber of commerce action plan and summary, comparison charts with the costs of animals used scientific rationale. 

Reliance on AF methods in drug development (jpg)

Download

Uk Nams Market (pdf)

Download

comparison (jpg)

Download

summaryChamberof commerce (pdf)

Download

master chamber of commerce AF 2 (pdf)

Download

LoC cost performance (pdf)

Download

Truth about animals in vaccines (pdf)

Download

Draize cost comparison (pdf)

Download

cost comparision of beagles 2 (pdf)

Download

cost comparision of primates (pdf)

Download

Cost comparision Minipigs (pdf)

Download

Report Farmed salmon Final R (pdf)

Download

Frequently Asked Questions

Please use our contact form to ask us any questions about our website and our campaign.

No, the process of animal testing has not been rigorously or universally scientifically validated as reliably predictive of human outcomes. While animal models are historically required by regulators, extensive scientific literature shows that they often fail to accurately predict human responses, with high failure rates (around 90%) of drugs passing animal tests but failing in human trials due to safety or efficacy issues. Critics highlight that many common animal tests lack formal validation against human data and demonstrate poor overall predictive validity across disease areas.


Several specific areas of animal testing have been fully or largely replaced by validated non-animal alternatives, particularly in regulatory safety testing. Examples include skin corrosion and irritation (replaced by reconstructed human skin models like EpiSkin or EpiDerm), eye irritation (phased out in many cases with in vitro methods), skin sensitization (using defined approaches and cell-based assays), and certain vaccine potency or batch safety tests (e.g., cell culture methods replacing animal challenge tests for some vaccines like yellow fever or rabies). The rabbit pyrogen test for fever-causing contaminants has also been phased out in favor of cell-based monocyte activation tests in many pharmacopoeial standards.


n drug development, certain preclinical toxicity tests—like skin sensitization (using cell-based assays) and eye irritation (via in vitro models)—have been fully supplanted, and the FDA is actively phasing out animal testing requirements for monoclonal antibodies and some biologics, favoring alternatives like organ-on-chips, organoids, and AI-driven models. Stem cell research has largely shifted to human-induced pluripotent stem cells (iPSCs) and organoids for in vitro disease modeling, drug screening, and regenerative studies, eliminating routine animal use in these applications. Other examples include medical training, where human-patient simulators have replaced live animals for surgical skills in most countries and vaccine production techniques, such as polio vaccines now using human cell cultures instead of monkey kidney cells. Overall, non-animal methods are increasingly dominant in these targeted areas


Copyright © 2026 Ban Animal Testing and Research - All Rights Reserved.

  • Privacy Policy

Powered by

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

DeclineAccept