«In analyzing the X-ray data on this level, we were able to track the electrochemical reactions with far more
accuracy than previous methods, and determined that iron fluoride performs better when it has a porous microstructure,» says Li.
In December 2017, writing in Computer
Methods in Applied Mechanics and Engineering, Yankeelov and collaborators at UT Austin and Technical University of Munich, showed that they can predict how brain tumors (gliomas) will grow and respond to X-ray radiation therapy with much greater
accuracy than previous models.