The faculty within the Department of Biomedical Engineering at the McKelvey School of Engineering focus their research on seven key areas.

Biomedical & Biological Imaging

We aim to solve important basic science and clinical issues by developing new technologies to complement the already strong research and clinical imaging activities in our community.

 

Cardiovascular Engineering

We seek to develop new methods to study, diagnose and treat cardiovascular diseases, including understanding how molecules control the heartbeat, imaging the electrical potential at the surface of the heart and creating mathematical models to connect heart function to its nanoscale molecular foundation.

 

Cell & Molecular Bioengineering

This program seeks to develop innovative approaches for treating disease, such as those associated with misfolded proteins like Alzheimer’s and Huntington’s, by manipulating molecules, cells or systems. 

 

Neural Engineering

Faculty involved in this area of research study neurons, neural systems, behavior and neurological disease; explore novel approaches to sensory and motor processing, and fundamentals of neural plasticity; and design neuroprosthetics.

 

Orthopedic Engineering

In this area, we seek to understand the mechanical and material properties of bone and soft tissues, and exploit biomaterial and cellular processes to mediate injury responses and promote regeneration.

Lab-grown cartilage

Engineered stem cells could revolutionize arthritis therapy and joint replacement

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Regenerative Engineering in Medicine

This program aims to develop materials that promote healing and the regeneration of functional tissues by researching normal growth processes and the responses of cells, tissues and organisms to disease and trauma.

Women's Health Technologies

Faculty involved in this program utilize modeling, imaging, and experimental approaches to study women’s reproductive health and gynecologic cancers including ovarian, cervical and uterine cancers. 

‘Hopeful technology’ could change detection, diagnosis of deadly ovarian cancer

A promising new diagnostic imaging technique may improve current standard of care for patients with ovarian cancer.

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