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Research Areas
Cellular and Molecular Imaging
New imaging technologies are providing the ability to interrogate and manipulate living biological specimens dynamically to yield information at the molecular, cellular and tissue levels. We believe these techniques will dramatically advance minimally invasive optical technologies and the biological questions and medical problems they are being used to address.
Our department focuses on interdisciplinary research for disease detection. The emphasis is to integrate new advances in imaging science, molecular markers of disease, and novel contrast agents for translational research.
BME faculty and GSC members in Cellular and Molecular Imaging
Cellular and Bio-Molecular Engineering
Cellular and Bio-molecular engineering forms the underpinning of molecular medicine. Areas that fall within the context of cell and bio-molecular includes tissue engineering, the synthesis of biomaterials that modulate tissue responses, development of smart drug delivery matrices, the design of therapeutic macromolecules, gene therapy and many others.
At UT, we have a core of faculty that has established an outstanding record of scientific accomplishment and technological innovation. Several successful companies have sprung out of research carried out at UT Austin by BME faculty, including Pharmacyclics, Therasense and Focal.
BME faculty and GSC members in Cellular and Bio-Molecular Engineering
Computational Biomedical Engineering
Due to dramatic, multidisciplinary advances in molecular biology and technology, the first complete human genome is available. Advances in genomic technologies have the potential to revolutionize the way health care is practiced; however , computational advances and a new kind of biological information science are required to achieve this potential.
Conducting research at this interface of computational BME, prognostics and diagnostics that combine clinical data with patient specific genotyping and molecular profiling have the potential to produce significantly improved choice of therapies for individual patients.
BME faculty and GSC members in Computational Biomedical Engineering
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