- This event has passed.
Anahita Fathi Kazerooni, PhD, Instructor, Department of Neurosurgery, Perelman School of Medicine, Center for Data-Driven Discovery in Biomedicine (D3b), Division of Neurosurgery, CHOP
October 26 @ 4:00 pm - 5:00 pm
Biomedical Data Science Seminar Series, BRB Gaulton Auditorium
Title: Computational Neuroradiology in Pediatric Neuro-Oncology; The Hopes for Advancing Precision Medicine in Children with Brain Tumors
This week hosted by AI2D – Christos Davatzikos
In recent years, concurrent advances of artificial intelligence and medical imaging have led to a paradigm shift in neuroradiology from qualitative assessment and decision making towards quantitative approaches for characterization of tumor tissues for decision support. However, even though pediatric brain tumors (PBTs) are the leading cause of morbidity and mortality among children, there is a dearth of available quantitative computational tools that can aid in diagnosis, prognosis, or treatment assessment of PBTs. In this talk, we will present the current status and potential of computational neuroradiology to improve diagnosis, risk stratification, and treatment assessment of PBTs will be presented.
Anahita Fathi Kazerooni is a research instructor (faculty) in the Translational Research Imaging Unit of the D3b Center, the Division of Neurosurgery at CHOP & Department of Neurosurgery of the University of Pennsylvania. Her research is mainly focused on applying artificial intelligence (AI) methods to the medical images for prediction of tumor genomics and integrating different diagnostic methods for predicting prognosis in pediatric patients with brain cancers.