Rami Vanguri, PhD

The goal of my research is to leverage complementary disease characterizations of histopathological and radiological data to develop multimodal biomarkers. Tissue-based spatial profiling allows for the localization and quantification of features within the tissue microenvironment, providing insight into disease pathology. In contrast, radiological imaging is a non-invasive method which captures macroscopic characteristics of disease, which can be quantitatively characterized using computational techniques such as deep learning and radiomics. By integrating quantitative characterizations of these data sources, I aim to develop novel biomarkers that can improve disease diagnosis, prognosis, and treatment response prediction. Through collaboration and innovative methodological approaches, I aim to advance precision medicine over neoplastic and non-neoplastic disease.