University of California, San Francisco
San Francisco, United States
Oluwaseun Adegbite is a PhD candidate at the University of California, San Francisco where she currently works in Janine Lupo's lab. She uses multiparametric MRI data with tissue samples of known spatial coordinates to noninvasively predict glioma aggressiveness using machine learning algorithms. Pathologically aggressive tumor biology can extend beyond the contrast-enhancing or non-enhancing anatomical lesion, thus noninvasive, radiopathomic mapping of tumor aggressiveness can help guide tissue sampling for diagnosis, increase extent of resection, and non-invasively characterize residual tumor burden for subsequent treatment.