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Tahereh Ghafoori and Rupali Khane, both students in the M.S. in Biotechnology Management & Entrepreneurship, presented compelling research that could bring us closer to understanding male infertility.
Kayla Bissell, a student in the M.S. in Speech-Language Pathology, recently presented compelling research on 鈥淭he Intergenerational Effects of Parental Adverse Childhood Experiences (ACEs) on a Child鈥檚 Development.鈥
Arielle Caplan, a student in the Occupational Therapy Doctorate, has made a compelling case that the the Expanded Disability Status Scale may be missing something vital for measuring disability in patients with Multiple Sclerosis.
Brooke Smith, a student in the M.S. in Speech-Language Pathology, explored an overlooked frontier in veteran rehabilitation: the cognitive communication impairments that shadow Post-Traumatic Stress Disorder (PTSD).
Lakshmi Priya Ramisetty, a 2024 graduate of the M.S. in Artificial Intelligence, introduced a new kind of artificial intelligence鈥攐ne not built for tech giants or billion-parameter showdowns, but for veterinarians.
At the 2025 AOTA Annual Conference, students in the Katz School鈥檚 Occupational Therapy Doctorate unveiled a powerful and timely analysis of how practitioners support people in their final stages of life.
A team of mathematics and occupational therapy students developed and tested an artificial intelligence model capable of analyzing parent-child interactions with unprecedented efficiency and precision.
Under the guidance of DMM Industry Professor Thomas Kennon, Vani Nair and Sheera Kraitberg developed a go-to-market strategy that introduces a precision instrument modernizing sternotomy to hospitals, surgeons and insurers nationwide.
At a time when students and alumni from colleges across the United States are navigating a maze of disconnected platforms to stay in touch with their peers, three students in the M.S. in Cybersecurity are building something different鈥攕omething unified.
A new study from the Katz School introduces a better way to prepare time-based data for Long Short-Term Memory (LSTM) models for forecasting changes in nature, like mosquito populations.