Genetics serves as a foundational data source, guiding researchers on where to focus their efforts in drug development. However, it's the integration of machine learning that enables the analysis of vast datasets and literature, facilitating the identification of targets for new medicines. This three-pronged strategy highlights the essential interplay between genetics, functional dynamics, and AI in the quest for innovative therapies.
