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  • Vincent Lab discovers six immune subtypes of cancer

    Benjamin Vincent, MD, Assistant Professor in the School of Medicine (Hematology/Oncology) and his lab have performed a comprehensive genomics evaluation of the tumor immune microenvironment in The Cancer Genome Atlas dataset, discovering six immune subtypes of cancer. These and other findings are associated with survival and are being developed as biomarkers of immunotherapy response in multiple tumor … Continued

  • Guorong Wu lab develops computational tools to understand brain function

    Guorong Wu, PhD, and his lab are interested in developing cutting-edge computational tools to understand the brain, using state-of-the-art neuroimaging, genetics, and machine-learning technologies. With this in mind, they work to discover biomarkers of neurodegenerative diseases, characterize genetic influences on brain structure, and create personalized diagnostic engines. See full publication here.

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Featured Faculty

Jeremy Purvis HeadshotJeremy Purvis
Assistant Professor

Jeremy Purvis is an Assistant Professor of Genetics and Cancer Cell Biology. He was recently published in Molecular Systems Biology.

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Leadership

Timothy Elston, PhD
Charles M. Perou, PhD

The School of Medicine has launched a new Computational Medicine Program, aiming to channel UNC’s strength in computational biology, the basic sciences, and clinical research, toward making significant advances in clinical care for patients.

Co-directors of the new program are Timothy Elston, PhD, professor of pharmacology and director of the Curriculum in Bioinformatics and Computational Biology, and Charles M. Perou, PhD, the May Goldman Shaw Distinguished Professor of Molecular Oncology at the UNC Lineberger Comprehensive Cancer Center, and professor of genetics, and of pathology and laboratory medicine.

“The Computational Medicine Program will enable teams of scientists from across the university to come together to address problems related to biomedical research,” Elston said. “Our ultimate goal is to generate models, combining many different types of data, that will enable us to predict outcomes of treatment, and design new ways of thinking about treating disease.”