Determining patient-specific tumor details is important in choosing the best treatment plans for those suffering from brain tumors or other forms of cancer. In this video, researchers Amir Gholaminejad and Andrea Hawkins-Daarud speak about how mathematical models can be used to give more information to doctors than what is possible with traditional MRIs. By using data from models designed for individual patient's tumor growth patterns, doctors can improve decisions about treatment plans.
Gholaminejad is a CSEM student working in Dr. George Biros' Parallel Algorithms for Data Analysis and Simulation Group. Hawkins-Daarud earned her CSEM doctorate under Dr. J. Tinsley Oden and is now a research associate at Northwestern University.
This video was produced by the Society for Industrial and Applied Mathematics (SIAM). Gholaminejad and Hawkins-Daarud made presentations at SIAM's 2015 Conference on Computational Science and Engineering in Salt Lake City, Utah, where the video was shot.