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Rutu Jagtap and Andres Romero, both ÐÔ°®ÌìÌà in the M.S. in Biotechnology Management and Entrepreneurship, presented an ambitious research project with big implications for medicine, molecular biology and developmental biology.
Dr. Yucheng Xie unveiled DietWatch, a smart, low-effort way to monitor diet using a simple smartwatch, at the 2025 IEEE/ACM CHASE Conference at the Yeshiva University Museum.
Allison Moore, a student in the M.S. in Physician Assistant Studies, provided a compelling comparison between a novel therapeutic option—topical ruxolitinib—and traditional corticosteroid treatments for Atopic Dermatitis, also known as eczema.
At a recent graduate symposium, Sharon Matalon, a student in the M.S. in Speech-Language Pathology, presented findings that could reshape how clinicians approach articulation therapy for children with Autism Spectrum Disorder.
Katz School ÐÔ°®ÌìÌÃand ÐÔ°®ÌìÌà joined other academic, industry and governmental leaders from around the globe to present transformative ideas at the crossroads of health and technology at CHASE 2025 in June at Yeshiva University Museum.
At the recent Graduate Symposium of Science, Technology and Health, Jenny Maharjan offered a strategic and scientific roadmap for how Frezent’s investigational therapy could not only reach the clinic, but change lives.
Abigail Assenza, a student in the M.S. in Physician Assistant Studies, chose Memorial Sloan Kettering Cancer Center for a clinical rotation because she has a personal connection to cancer. Her father died of it when she was in college.
At the heart of Lior Nissanian’s project is a carefully crafted resource that equips dental professionals with actionable strategies tailored to three key sensory modulation disorders common among children with autism spectrum disorder.
Ewa Gerlak, right, a student in the M.S. in Physician Assistant Studies, posed a challenge to the status quo in inflammatory bowel disease treatment and how physicians think about gastrointestinal health.
Nikhil Deekonda, a student in the M.S. in Artificial Intelligence, unveiled the idea behind an AI-powered mobile app, called LungAware, designed to detect and classify lung cancer from CT scans at a Graduate Symposium on Science, Technology and Health.