YU News

An interdisciplinary team of graduate students in the M.S. in Artificial Intelligence and M.S. in Biotechnology Management and Entrepreneurship have developed an ambitious solution to one of the most pressing problems in modern medicine: the lack of a centralized, comprehensive and accessible…

World-class faculty. Clinical placements close to home. A prestigious degree—on your schedule. Responding to an unprecedented demand for licensed mental health professionals nationwide, Yeshiva University’s Ferkauf Graduate School of Psychology is expanding access to its world-class training…

Kasey Giordano enrolled in the M.S. in Speech-Language Pathology not just with a dream but with a mission: To become an advocate for individuals with complex communication needs. Her belief in communication as a human right is deeply rooted.

By the time Ruby Pasupuleti began her clinical rotation at Memorial Sloan Kettering Cancer Center, she had already carried a private grief for years—one that would shape her path in medicine.

YU Today Published in The Wall Street Journal: The University's signature magazine highlights how YU is advancing scholarship, service and community impact at home and around the world.

The PA program traveled to The Gambia on a medical mission that was more than an opportunity to practice medicine—it was a transformative experience that deepened their understanding of global healthcare disparities.

The PANCE pass rate is one of the most important indicators of a PA program’s quality, effectiveness and selectivity. A perfect pass rate signals that the curriculum is rigorous, faculty are exceptional and students receive robust support.

Katz School researchers, including AI master's student Ruixin Chen, have solved one of the biggest headaches in modern machine learning—how to make AI models that can adapt to new information without needing to start over.

At the Spring 2025 Graduate Computer Science and Engineering Research forum, the future of technology wasn’t merely on display—it was actively being built.

A team of researchers from the Katz School's Department of Graduate Computer Science and Engineering created a new dataset and AI tool that could dramatically change how medical images are made and used in the future.