Generative AI may significantly reduce the number of animal experiments

In early phases of drug development, new active substances are tested in animals—alongside numerous other experimental methods. Researchers face a dilemma: on the one hand, for ethical reasons, they aim to keep the number of animals used in an experiment as low as possible. On the other hand, animal experiments must include enough animals to produce reliable and representative results, for example, to determine whether a new drug candidate produces a specific effect.