Research Information
Research Interests
Dr. Shiradkar’s research focuses on developing machine learning and artificial intelligence methods in conjunction with quantitative and conventional MRI for image-based diagnosis and prognosis of prostate cancer. Non-invasive imaging-based diagnosis can potentially aid in not only improving characterization of cancer on imaging, but also alleviate issues arising out of conventional invasive practices such as biopsies and blood-based tests. His research is aimed at non-invasively identifying risk of prostate cancer progression, response to therapies and treatment outcomes. He is also working on integrating multi-modal imaging and clinical data such as MRI, pathology, genomics for developing reliable and robust methods for cancer diagnostics.