Molecular classification has transformed the diagnosis and treatment of diffuse gliomas, creating targets for precision therapies. However, timely and efficient access to molecular diagnostic methods remains difficult, causing a significant barrier to deliver molecularly-targeted therapies. We aim to develop an innovative point-of-care diagnostic screening method that provides rapid and accurate molecular classification of diffuse gliomas through artificial intelligence and optical imaging in order to improve the comprehensive care of brain tumor patients.
Dr. Todd Hollon is a neurosurgeon and research scientist who specializes in brain tumors. He is an Assistant Professor of Neurosurgery. He completed his postdoctoral training in the UM Translational Molecular Imaging Laboratory under the supervision of Drs. Daniel Orringer and Honglak Lee. His postdoctoral work focused on the application of deep neural networks to advanced imaging methods to improve the speed and accuracy of intraoperative brain tumor diagnosis. He hopes to be part of the next generation of young scientists that uses computation and machine learning to make scientific breakthroughs.