Can we develop better brain imaging for precision medicine?

Ali Khan, PhD, Canada Research Chair (Tier 2) in Computational Neuroimaging, is developing new computational techniques to better analyze and assess images of the brain, with the goal of improving diagnostic accuracy and surgical interventions.

Medical images play a critical role in the diagnosis and monitoring of disease, and the planning and guidance of surgical therapies. When clinicians have better information, they can make better decisions earlier to affect patient outcomes.

Ali Khan, PhD, is developing and applying sophisticated image processing and analysis techniques to extract, quantify and distill information from medical images. The goal? More accurate diagnoses and more precise surgical interventions. His research team carries out research that spans several domains, with applications in epilepsy, cancer, cardiovascular disease and neuroscience.

Khan is an Assistant Professor of Medical Biophysics at the Schulich School of Medicine & Dentistry and a scientist at Robarts Research Institute.