Developing deep learning models to diagnose tumors

Summary

MBZUAI's first Ph.D. graduate, Numan Saeed, developed deep learning models to diagnose head and neck cancers using PET and CT scan imagery. His research focused on improving early detection and accurate localization of tumors, aiming to enhance diagnosis and prognosis. Early diagnosis can reduce mortality rates by up to 70%. Why it matters: This research showcases the potential of AI in healthcare to improve cancer diagnosis and treatment, addressing a critical need in resource-constrained healthcare systems.