Advanced AI models are not always better than simple ones

Understanding genetic perturbations, when scientists intentionally alter genes to see how this affects cells, is key to understanding what our genes do and how they are controlled. This knowledge has important applications in cell engineering and in developing new treatments. Today, scientists can test many different genetic perturbations in the lab. But there are so many possible combinations that it is impossible to test them all. AI and machine learning have created the opportunity to use information from large biological datasets to predict what will happen when a gene is changed -- even if that change has never been tested in the laboratory.