DR-440 Artificial Intelligence (AI) Foundation Model for Learning Novel Treatment Response Mechanisms in Large International Pan-Cancer Datasets to Improve Triple-Negative-Breast-Cancer (TNBC) Outcomes

This project uses artificial intelligence (AI) to analyze large amounts of data from cancer patients across different types of cancer, treatments, and countries. By learning from this diverse data, the AI will help uncover new ways to predict how patients respond to treatments. The project specifically focuses on improving the treatment of Triple-Negative Breast Cancer (TNBC), a form of cancer that is difficult to treat due to its complexity and limited treatment options. The goal is to help doctors provide more personalized and effective treatment plans for patients, especially those with TNBC.

Franziska Michor, Dana-Farber Cancer Institute, United States of America