The Biomedical Technology Program harnesses the expertise of scientists and engineers in collaboration with clinicians to develop new technologies, instruments, methods and algorithms that can be used for cancer screening, detection, diagnosis, treatment or treatment monitoring. The program draws primarily on science and engineering expertise from four key components, the Departments of Biomedical Engineering and Radiology at UC Davis, the NSF Center for Biophotonics Science and Technology (CBST), and the Lawrence Livermore National Laboratory (LLNL). In addition, clinical members of the program, from both the Medical School and School of Veterinary Medicine, with an expertise in radiology, radiafion oncology and surgery, are critical in guiding and supporting translational activities. Core themes of the program are technologies for cancer research and diagnosis, whole-body and organ imaging technologies, therapeutic technologies, biomarker discovery, and biosensors. These technologies span research, preclinical and clinical applications and include active collaborations with industry. They also cover spatial scales ranging from single molecules, through cells and tissues, to the whole-body level. The goals of the Biomedical Technology Program include: 1) create an environment that encourages development of technologies to address critical questions in cancer research and cancer care, 2) foster interactions between engineers, physicists and chemists with cancer biologists and physicians to guide the development process, 3) catalyze interactions to enable testing and validation of these technologies in pre-clinical models of cancer and in clinical settings;4) make technologies accessible through collaboration with cancer researchers and clinicians in other Cancer Center programs or via the shared resources as appropriate and 5) encourage interactions with industry that can lead to broader dissemination and adoption of these technologies. The program has 36 members from 10 different departments of UC Davis and 6 departments of LLNL. It has 18 NCl-funded projects for $3.2 million ADC (total peer-reviewed funding, $8.8 million ADC). The group has 869 publications for the last funding period;22% are inter-programmatic and 11% are intra-programmatic.

Public Health Relevance

This program brings together individuals from very different disciplines so that discoverise in the worlds of physics, mathematics, and engineering can through interactions with individuals in the medical and vet school be utilized to improve all aspects of the cancer continuum from prevention to cure.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
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Subcommittee G - Education (NCI)
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University of California Davis
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Riess, Jonathan W; Gandara, David R; Frampton, Garrett M et al. (2018) Diverse EGFR Exon 20 Insertions and Co-Occurring Molecular Alterations Identified by Comprehensive Genomic Profiling of NSCLC. J Thorac Oncol 13:1560-1568
Withers, Sita S; Moore, Peter F; Chang, Hong et al. (2018) Multi-color flow cytometry for evaluating age-related changes in memory lymphocyte subsets in dogs. Dev Comp Immunol 87:64-74
Rowson-Hodel, A R; Wald, J H; Hatakeyama, J et al. (2018) Membrane Mucin Muc4 promotes blood cell association with tumor cells and mediates efficient metastasis in a mouse model of breast cancer. Oncogene 37:197-207
Zhang, Jin; Xu, Enshun; Ren, Cong et al. (2018) Genetic Ablation of Rbm38 Promotes Lymphomagenesis in the Context of Mutant p53 by Downregulating PTEN. Cancer Res 78:1511-1521
York, D; Sproul, C D; Chikere, N et al. (2018) Expression and targeting of transcription factor ATF5 in dog gliomas. Vet Comp Oncol 16:102-107
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Wang, Fuli; Zhang, Hongyong; Ma, Ai-Hong et al. (2018) COX-2/sEH Dual Inhibitor PTUPB Potentiates the Antitumor Efficacy of Cisplatin. Mol Cancer Ther 17:474-483
Fletcher, Kyle; Klosterman, Steven J; Derevnina, Lida et al. (2018) Comparative genomics of downy mildews reveals potential adaptations to biotrophy. BMC Genomics 19:851
Seo, Jai Woong; Tavaré, Richard; Mahakian, Lisa M et al. (2018) CD8+ T-Cell Density Imaging with 64Cu-Labeled Cys-Diabody Informs Immunotherapy Protocols. Clin Cancer Res 24:4976-4987
Yuan, Ye; He, Yixuan; Bo, Ruonan et al. (2018) A facile approach to fabricate self-assembled magnetic nanotheranostics for drug delivery and imaging. Nanoscale 10:21634-21639

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