In the February 2025 issue of Nature Communications, Carli et al. reported the development of a predictive model of cell line drug sensitivity from RNA-seq data using machine learning approaches. The model leveraged Reactome pathways in combination with large language models (LLMs) to provide a mechanistic foundation. It demonstrated strong performance and was applied to predict patient drug responses, with predictions supported by experimental validation. This work highlights how Reactome provides a robust framework for enhancing the interpretability of machine learning models in precision medicine.
