Integrating dynamic modeling of signaling pathways with subject-specific transcriptomic data to assess breast cancer risk
Breast cancer is the most common cancer in women and a leading cause of death. Traditional risk assessment models, such as the Gail model, lack molecular insight, limiting their usefulness for personalized prevention strategies. We developed a computational framework that integrates individual transcriptomic data with...