About Us
IDiA Lab develops artificial intelligence (AI), machine learning (ML), and statistical modeling approaches for translational applications in oncology and neurological disorders. Our primary focus is on advancing tools for disease prediction, prognosis, and treatment assessment in oncology, including cancers of the brain (adult and pediatric), lung, pancreas, breast, and rectum, as well as in stroke and retinal disease. A key approach of our research involves identifying radiomic (image-based) phenotypes from multi-modal medical imaging, including MRI, CT, and digital pathology slides, and exploring their associations with genomics (radiogenomics) and histopathology (radiopathomics) to enhance disease characterization, leveraging both traditional radiomic pipelines and foundational models trained on large scale data.
Please check the News page for specific projects and research focus of our group.
