Neural networks, support vector machines, and linear regression are some of the many types of AI incorporated into modern bioprocess engineering workflows . AI models work by training on known experimental data so that when new data is introduced, the AI model can predict relevant outcomes or make additional decisions in production to high proficiency. Artificial intelligence has also been used in "recombinant biologics production in host systems such as mammalian cells (CHO and HEK293)" .