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Developing deep learning models to diagnose tumors

MBZUAI · Invalid Date

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.

Inaugural undergraduate AI research internship attracts stellar students to MBZUAI’s Abu Dhabi campus

MBZUAI · Invalid Date

MBZUAI hosted 34 undergraduate STEM students from around the world for its inaugural one-month Undergraduate Research Internship Program (UGRIP) in Abu Dhabi. The interns, hailing from countries including the UAE, USA, and India, engaged in ongoing MBZUAI research projects spanning sustainability, education, and healthcare. Interns worked on projects ranging from fake news detection using NLP to tumor diagnosis using computer vision. Why it matters: This program strengthens MBZUAI's position as a global AI research hub and cultivates AI talent within the region.