MRI-Based Mathematical Modeling to Predict Breast Cancer Patient Response to Neoadjuvant Therapy

MRI-Based Mathematical Modeling to Predict Breast Cancer Patient Response to Neoadjuvant Therapy

Learn about MRI-based mathematical modeling for predicting breast cancer patient responses to neoadjuvant therapy in this 21-minute conference talk by Reshmi Patel from the University of Texas at Austin. Explore the application of mathematical techniques to analyze MRI data from I-SPY 2 clinical trial participants, aiming to improve treatment outcome predictions for breast cancer patients. Gain insights into the intersection of mathematics and oncology as part of the "Mathematics of the Hallmarks of Cancer" series presented by the Fields Institute on August 21, 2024.