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translational regenerative medicine, big data, and artificial intelligence (AI). Our clinicians, students, and faculty are resourced with — and develop — leading-edge equipment and technologies to treat and
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funded diabetes investigators and the integration of their data into our greater understanding of the whole of diabetes. We are committed to creating a research environment that supports fundamental
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magnetic resonance hardware for high fields (e.g. RF coils, pre-amplifiers, digital receivers, phased arrays, etc.) Development of software for data analysis and display for functional brain mapping
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disease management The overarching approach the Center follows includes 3 key components -Implement sound scientific methods and collect data through traditional as well as cutting-edge technology
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program. Increase visibility and national branding of the UMN movement disorders program, capitalizing on Udall designation and strong outcomes data. Lead cross-disciplinary growth in neuromodulation
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skill assessment in education. Genomics: Our collaborations with the U’s Supercomputing Institute to analyze vast amounts of genetic data advance the prevention and treatment of numerous diseases
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. Laboratory Genetics & Genomics (LGG) – Training in cytogenetics and molecular genetics with a focus on precision testing, clinical consultation, and integration of genomic data into patient care. Molecular