AI/ML and drug repurposing in lung cancer: State of the art and potential roles for retinoids

The objective of this chapter is to furnish the reader with a concise overview of drug repurposing, focusing on its application in lung adenocarcinoma research, alongside an introduction to fundamental AI/ML tools that can be effectively utilized in this domain. To demonstrate the practical functionality of these tools, we will explore an illustrative analysis of a machine learning model trained on genetic and clinical data derived from samples of lung cancer patients. Furthermore, we will engage in discussions regarding the potential clinical significance of the obtained results, thus bridging the gap between computational insights and their practical implications.