A new study from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a machine-learning model that can predict the future co-evolution of tumors and the immune system during cancer treatment. The model, named TRACE, analyzes longitudinal data from tumors to forecast how both cancer cells and immune cells will adapt and change over time in response to therapies like immunotherapy. This predictive capability aims to help clinicians select the most effective treatment strategies by anticipating resistance mechanisms and immune responses. The research highlights the potential of AI to improve personalized medicine in oncology by providing a dynamic view of tumor-immune interactions. Read the full article at https://technologyreview.com/2024/07/18/1094855/ai-model-predicts-cancer-tumor-evolution-treatment.