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Jina Ko is an Assistant Professor in the Department of Pathology and the Department of Bioengineering at the University of Pennsylvania. Her research primarily focuses on microfluidics and point-of-care diagnostics, particularly using exosomes as biomarkers. She has a strong background in machine learning applications for disease diagnostics, including pancreatic cancer and Alzheimer's disease. Her work has contributed significantly to the understanding of extracellular vesicles in liquid biopsies and cancer monitoring. She has published extensively on the topics of biomarker identification and diagnostic technology, with numerous articles addressing innovations in clinical diagnostics. Jina Ko's multidisciplinary approach combines engineering and biological sciences, enabling the development of advanced diagnostic tools that facilitate early disease detection and monitoring. Her research aims to bridge the gap between technological advancements and real-world clinical applications, making significant strides towards improving patient care and outcomes.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.