The government has detailed for the first time how it aims to fulfil its manifesto pledge to work toward phasing out animal testing.


The new plans include replacing animal testing for some major safety tests by the end of this year and cutting the use of dogs and non-human primates in tests for human medicines by at least 35% by 2030.


The Labour Party's manifesto stated that it would partner with scientists, industry, and civil society as we work towards the phasing out of animal testing.


Science Minister Lord Vallance expressed his vision for a future where the use of animals in research is nearly eliminated, though he acknowledged that achieving this goal would take time.


Animal experiments in the UK peaked at 4.14 million in 2015, mainly due to a rise in genetic modifications involving mice and fish. By 2020, this number had fallen to 2.88 million as alternative methods developed, but the rate of decline has slowed.


Lord Vallance aims to re-ignite the downward trend by moving toward trials on tissues from stem cells, AI, and computer simulations.


While many scientists are skeptical about reaching the target of near-zero animal testing, some believe it is essential to push forward with refining non-animal methods. No tests will allow for a complete replacement of animal trials in all scientific fields, especially given complexities in biological interactions.


Technologies such as organ-on-a-chip could play a pivotal role in this transition, with researchers developing systems that mimic the function of human organs to conduct safer, more efficient tests.


The government’s plans include establishing a Centre for the Validation of Alternative Methods and increasing funding aimed at supporting innovative scientific research practices.


The RSPCA has viewed this plan as a notable step forward but emphasizes the importance of delivering on these commitments.


As the landscape of scientific research evolves, the push towards less reliance on animal testing may soon reshape how new medicines and safety measures are developed.