Animal models often do not accurately predict human responses, leading to a high failure rate in human trials. They may miss potential drugs that could work in people or pass drugs that are toxic to humans.
Organ-on-a-chip technology can more accurately identify drug toxicity, especially liver toxicity, which is frequently missed in animal models. It is also cheaper and faster than using non-human primates.
Organoids are 3D cell cultures grown in the lab that mimic specific human tissues, allowing for personalized treatment and study of rare diseases. They are more complex than organ-on-a-chip models but still have limitations in representing full organ functions.
Computer models can predict toxicity more accurately than animals and are faster and cheaper. They rely on algorithms and AI, making them efficient for large-scale chemical testing.
Both organoids and organ-on-a-chip models have limitations in fully representing the complexity of human organs and interacting systems. They are useful for specific functions but cannot replace the need for studying full biological systems.
Animals are necessary for studying complex, interconnected biological systems and basic physiological functions that alternatives like organoids or computer models cannot fully replicate. They provide insights into how healthy systems work and the fundamental principles of diseases.
Computer models can predict brain activity and help researchers focus on specific brain areas, making experiments more targeted and potentially reducing the number of animals needed in research.
It’s not great to be a lab rat. And it turns out, lab rats might not be that great for science either. Could the future be little lab-grown brain clumps?
Guest: Rachel Nuwer), science journalist; Lisa Genzel), professor of neuroscience at Radboud University
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