{"id":42115,"date":"2024-08-16T09:02:39","date_gmt":"2024-08-16T07:02:39","guid":{"rendered":"https:\/\/proefdiervrij.nl\/?p=42115"},"modified":"2024-08-16T13:15:14","modified_gmt":"2024-08-16T11:15:14","slug":"marc-uses-ai-to-replace-animal-testing","status":"publish","type":"post","link":"https:\/\/staging.proefdiervrij.nl\/en\/updates\/marc-uses-ai-to-replace-animal-testing","title":{"rendered":"Marc uses AI to replace animal testing"},"content":{"rendered":"

Welcome to Drijfveren<\/em>. Here, researchers share what motivates them to work towards an animal-free future. This time, the spotlight is on Dr. Marc Teunis, who is leveraging AI (artificial intelligence) to replace animal testing in his role as Associate Lecturer of Data Science in Life Sciences & Chemistry at Utrecht University of Applied Sciences. \u201cResearch into the harmful effects of substances could be animal-free in about ten years.\u201d<\/strong><\/p>\n<\/div><\/div><\/div>

\"Marc<\/span><\/div><\/div><\/div><\/div><\/div>

Marc is a biologist by training. He has now been working at Utrecht University of Applied Sciences for twenty years. When he taught himself to program several years ago, a new world opened up for him. He could start building digital solutions for the challenges researchers face, including the development of animal-free research methods: \u201cAnimal testing is unpleasant for the animals involved. If research can be done in another way, then we should do it differently.\u201d<\/p>\n

Testing substances for our health<\/h2>\n

Marc combines AI<\/a> and toxicology. He does this within the Data Science Group, part of the research group Innovative Testing for Life Sciences & Chemistry.<\/p>\n

Together with his colleagues, Marc is contributing to a large international project involving scientists who specialize in testing the safety of substances using artificial intelligence. \u201cBefore a substance can be brought to market, you need to prove that it does not pose a risk to public health. Currently, animals are often used for this. We are developing an AI tool that predicts whether medicines or other substances are harmful to humans.\u201d<\/p>\n

AI as a research assistant<\/h2>\n

Good news for lab animals, but how does a computer know if a substance is harmful? Marc explains, \u201cYou analyze how a substance is composed and express that structure in a series of numbers. These can be input into the computer. Substances that are structurally similar may have comparable effects. It is now impossible for a human to sift through all the research data collected by scientists worldwide. AI can search and compare much larger datasets in a short time.\u201d<\/p>\n