 Drug metabolism and excretion are important factors in determining the effectiveness and safety of drugs. Artificial intelligence, AI, has been used to predict these processes which can accelerate drug development and increase clinical success rates. Recent advancements include deep learning and machine learning algorithms as well as publicly available data sets and free prediction tools. Challenges remain, such as model accuracy and scalability, but there is great potential for further progress in this area. This article was authored by T2ette Van Tran, Hillel Tiara, and Kyl Tochon.