Research Programs/Centers/Institutes

Researchers within the Department of Surgery are focused on solving problems related to diabetes, experimental surgery, transplantation, and more.

Our Research Programs/Centers/Institutes:

Schulze Diabetes Institute

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Developing a cure takes a combination of brilliant minds, high-tech facilities and robust funding to ensure scientists can do their work.  The Schulze Diabetes Institute brings it all together.


Basic and Translational Research

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Basic & Translational Research comprises an intellectually diverse subgroup of nonclinical Department of Surgery specialists that represent a wide-ranging skill set.


Visible Heart Laboratory

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The Visible Heart Laboratory is a premiere place to perform translational systems physiology research which ranges from cellular and tissue studies to organ and whole body investigations.

Experimental Surgical Services

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As a leading pre-clinical research center, Experimental Surgical Services is dedicated to advancing medical technology through translational research. 


History of Medicine

Since its founding in 1967, the Medical School’s Program in the History of Medicine has been dedicated to research and teaching in the intellectual, political, cultural, and social history of disease, health care, and medical science. The history of medicine provides students with a historical perspective on the role health, medicine, and disease play in society today. It prepares students to think critically about historical and contemporary health issues.


Natural Language Processing / Information Extraction (NLP/IE) Program

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The Natural Language Processing / Information Extraction (NLP/IE) Program (PIs: Genevieve Melton-Meaux, MD, MA and Serguei Pakhomov, PhD) at the University of Minnesota Institute for Health Informatics is a team of investigators, postdoctoral researchers, programmers, and students who work together on natural language processing (NLP) for a variety of clinical and biomedical tasks. We use NLP/IE to process, extract, and encode information from unstructured biomedical and clinical texts, including clinical texts from the electronic health record. These techniques are then leveraged to support the invention of new healthcare and research applications and the investigation of healthcare interventions.