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Biomedical Technology    

The Biomedical Technology Program combines a range of disciplines, including physical sciences, biology, medicine, and engineering, to develop innovative advances in techniques and technologies for cancer research, diagnosis, and therapy. The Program provides scientific and technological expertise to the cancer center for the development of advanced cancer research and diagnostic tools and translation of these technologies to clinical settings.

The Program aims to develop and validate radiological diagnostic and therapeutic technologies, develop and validate optical spectroscopic and imaging technologies (biophotonics), develop molecular and cellular technologies for translational and clinical applications, and develop and validate computational methods and Artificial Intelligence (AI) techniques.

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Membership resources for researchers

Involved in cancer research? Cancer Center membership is open to all UC Davis faculty and Lawrence Livermore National Laboratory researchers with a focused interest in cancer or related disciplines, and a commitment to contributing to the Cancer Center mission. Collaborate with like-minded investigators, gain access to resources, and contribute to the only NCI-designated Cancer Center positioned to address the cancer burden in Northern California's Central Valley.

Become a part of the collaborative research community at the UC Davis Comprehensive Cancer Center. Learn more about becoming a member and the valuable resources available to our researchers.


Biomedical Technology Program Leaders

Laura Marcu

Laura Marcu, Ph.D. 

Professor, Departments of Biomedical Engineering and Neurological Surgery
Director, NIH-NIBIB National Center for Interventional Biophotonics Technologies (NCIBT)

Expertise: biomedical optics; development of optical techniques for tissue spectroscopy and imaging

Orin Bloch, M.D.

Orin Bloch, M.D.

Professor, Department of Neurological Surgery
Director, UC Davis Brain Tumor Program

Expertise: internationally recognized expert in the management of patients with brain tumors

Biomedical Technology Program Research Highlights


Computational Framework for Discovery of Regulatory Non-Coding Drivers in Tissue-Matched Distal Regulatory Elements

Positronium Lifetime Image Reconstruction for TOF PET

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Intraoperative Detection of IDH-Mutant Glioma using Fluorescence Lifetime Imaging

Intraoperative Detection of IDH-Mutant Glioma using Fluorescence Lifetime Imaging

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Computational Framework for Discovery of Regulatory Non-Coding Drivers in Tissue-Matched Distal Regulatory Elements

Fully Automated, Semantic Segmentation of Whole-Body-18F-FDG PET/CT Images Based on Data-Centric Artificial Intelligence

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