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The primary research focus of Feichen Shen, Ph.D., is to develop innovative methodologies and applications for artificial intelligence (AI), machine and deep learning, graph and data mining, ontologies, and semantic web. The goal of his research is to apply these techniques to improve health care delivery and facilitate translational studies.
Dr. Shen's work uncovers biomedical and clinical information buried in heterogeneous data sources and establishes semantic interoperability between public biomedical knowledge and clinical data. His work has potential to improve clinical diagnostic decision-making.
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Explora todos los estudios de investigación en Mayo Clinic.
Ver las conclusiones revisadas por colegas que publiqué como resultado de mi investigación.