IDiA Lab focuses on developing neuroinformatics techniques using machine learning, statistical modeling, and pattern recognition for applications in brain tumors and neurological disorders. One of the primary focuses of IDiA lab is to identify computerized image-based (also known as radiomic) phenotypes, and their associations with genomics (radiogenomics) and histo-pathology (radio-pathomics) for disease characterization.
Our vision is to conduct interdisciplinary and translational research in personalized diagnostics towards early diagnosis, prognosis, and response to treatment for different neurological conditions including brain tumors. Through our clinical collaborations and research efforts, we aim to build technologies with a potential for near-term clinical impact in customizing personalized treatments and improving patient survival.
Please check the research page for specific projects and research focus of our group.