Advancing health and medicine through data science and artificial intelligence is a key priority for the School of Data Science. Researchers collaborate with medical professionals to develop predictive models for patient care, analyze biomedical data, and address health disparities. Educational programs and research initiatives equip students with the skills to drive innovation in health care, from personalized medicine to public health analytics.
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Brain and Neuroscience
Data about the human brain can include images, electrical readings, behavioral symptoms, treatment history, and more. Turning this multimodal data into meaningful insight to help clinicians improve patient physical and mental health is a special priority for the University of Virginia. Alongside UVA’s Brain Institute, School of Data Science researchers collaborate to study brain development, injury response, psychiatric disorders and more, using cutting-edge data science techniques.
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Physiology and Human Movement
Technological advances in computer vision and sensing tools are making it possible to monitor human movement in near-real time. School of Data Science researchers use video data to analyze human movement for sports performance and injury prevention in a variety of occupations. Partnerships with UVA Athletics and professional teams across the country expand our work in sports analytics beyond athlete performance, to apply data science to the economics of sport and an array of other related fields.
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Bioinformatics
Data science plays a pivotal role in diagnosing, monitoring, and recommending treatments for human disease and injury. The predictive power that is made possible by big data, including images, test results, electronic health records, and genomic information, has made clinical practice more precise. Data science also informs drug discovery, with AI assisting in everything from metadata analyses to protein-folding.
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