"The Design of Animal Experiments" is intended for all research scientists who use laboratory animals, with the aim of helping them to design their own experiments more effectively.
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3Rs
Isogenic strains (inbred strains and F1 hybrids) are like immortal clones of genetically identical individuals. The same genotype can be reproduced indefinitely. They have already made a substantial contribution to biomedical research.
Scientists at the ICR are increasingly using non-invasive methods to measure the size of tumours in mice – allowing the same mouse to be assessed several times and reducing the overall numbers
Systematic reviews: Evidence from animal research is considered by researchers to be of the lowest quality in medical research.
There is a great need for valuable ex vivo models that allow for assessment of cartilage repair strategies to reduce the high number of animal experiments.
Designed to facilitate sharing-SEARCH and SEARCHBreast provide scientists with choices when determining the most robust and relevant models to use when studying human disease.
‘Research integrity’ is an overarching term relating to the standards to which research is done. It requires every individual to acknowledge their responsibilities as well as being accountable for adhering to legal and ethical principles.
Silabe offers a large range of NonHuman Primate bioproducts to academic research institutes and companies in the field of Science and Health.
StudySwap is a platform hosted on the Center for Open Science’s Open Science Framework site, enables users to post their research “haves” and “needs,” with the goal of helping scientists exchange resources and find suitable collaborators for replication studies.
The goal of this project was to develop and implement a harmonized guideline for ideal and maximum dose volumes for various routes for the most common laboratory animals in biomedical research.
Our ARRIVE (Animal Research: Reporting of In Vivo Experiments) guidelines are intended to improve the reporting of research using animals – maximising information published and minimising unnecessary studies.