Franklin researcher Rongjie (RJ) Liu has received a National Science Foundation (NSF) CAREER Award to advance artificial intelligence tools for understanding neurological disease. The NSF CAREER Award is among the most competitive honors for early-career researchers in the United States, recognizing faculty who demonstrate strong potential as both researchers and educators. At the University of Georgia’s Franklin College of Arts and Sciences,…

Franklin College of Arts and Sciences Ph.D. candidate Blessing Temitope Adewuyi has built her academic journey around perseverance and faith. Raised in southwestern Nigeria, she became the first in her family to earn a college degree. In May, she will again make family history as the first to earn a Ph.D. Adewuyi’s work sits at the intersection of ethics, religion, and biomedical science. Focusing on bioethics, she examines how advances in…

“As UGA continues to grow its efforts in health-related fields, the integration of computing, engineering, AI, and biomedical research will be essential; I believe the future of healthcare depends on it," said College of Engineering Dean Alex Orso in his opening remarks at UGA's School of Computing annual Research Day—a tradition that began in 2010 under its predecessor, the Department of Computer Science.” Jointly sponsored by the Franklin…

When a patient leaves a hospital – prescriptions in hand and instructions fresh in mind – they cross an invisible threshold. It’s only a few steps, but in those “last 10 feet,” the controlled world of healthcare meets the unpredictable realities of everyday life. It’s here, in this overlooked space, that even the best medical plans can falter. At UGA’s recent Healthcare 5.0 conference, students from across disciplines were challenged to rethink…

Jane Odum, a Ph.D. candidate in Franklin’s School of Computing (SOC), has earned international recognition after winning first place and a $30,000 prize in the Google-sponsored MedGemma Impact Challenge. Her mobile-first AI platform, EpiCast, was designed to strengthen disease surveillance in low-resource settings by enabling community health workers to report symptoms in their native languages and convert them instantly into structured clinical…

The potential of applications using Artificial Intelligence is quickly venturing into the medical field, with implications for patients and practitioners. A new study published in Nature Medicine presents an open-source multimodal vision-language foundation model, BiomedGPT, for various biomedical applications. AI techniques have also demonstrated potential in solving a wide range of biomedical tasks, including radiology interpretation…