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.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA093373-11
Application #
8741019
Study Section
Subcommittee G - Education (NCI)
Project Start
2002-07-01
Project End
2016-06-30
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
11
Fiscal Year
2013
Total Cost
$25,235
Indirect Cost
$8,797
Name
University of California Davis
Department
Type
DUNS #
047120084
City
Davis
State
CA
Country
United States
Zip Code
95618
Li, Peng-Cheng; Tu, Mei-Juan; Ho, Pui Yan et al. (2018) Bioengineered NRF2-siRNA Is Effective to Interfere with NRF2 Pathways and Improve Chemosensitivity of Human Cancer Cells. Drug Metab Dispos 46:2-10
Lucchesi, Christopher A; Zhang, Jin; Ma, Buyong et al. (2018) Disruption of the Rbm38-eIF4E complex with a synthetic peptide Pep8 increases p53 expression. Cancer Res :
Kiuru, Maija; Tartar, Danielle M; Qi, Lihong et al. (2018) Improving classification of melanocytic nevi: Association of BRAF V600E expression with distinct histomorphologic features. J Am Acad Dermatol 79:221-229
Pargett, Michael; Albeck, John G (2018) Live-Cell Imaging and Analysis with Multiple Genetically Encoded Reporters. Curr Protoc Cell Biol 78:4.36.1-4.36.19
Fishman, Scott M; Carr, Daniel B; Hogans, Beth et al. (2018) Scope and Nature of Pain- and Analgesia-Related Content of the United States Medical Licensing Examination (USMLE). Pain Med 19:449-459
Lewis, Daniel D; Chavez, Michael; Chiu, Kwan Lun et al. (2018) Reconfigurable Analog Signal Processing by Living Cells. ACS Synth Biol 7:107-120
Braithwaite, Dejana; Miglioretti, Diana L; Zhu, Weiwei et al. (2018) Family History and Breast Cancer Risk Among Older Women in the Breast Cancer Surveillance Consortium Cohort. JAMA Intern Med 178:494-501
Unger, Jakob; Sun, Tianchen; Chen, Yi-Ling et al. (2018) Method for accurate registration of tissue autofluorescence imaging data with corresponding histology: a means for enhanced tumor margin assessment. J Biomed Opt 23:1-11
Winer, Rachel L; Tiro, Jasmin A; Miglioretti, Diana L et al. (2018) Rationale and design of the HOME trial: A pragmatic randomized controlled trial of home-based human papillomavirus (HPV) self-sampling for increasing cervical cancer screening uptake and effectiveness in a U.S. healthcare system. Contemp Clin Trials 64:77-87
Wang, Guobao; Corwin, Michael T; Olson, Kristin A et al. (2018) Dynamic PET of human liver inflammation: impact of kinetic modeling with optimization-derived dual-blood input function. Phys Med Biol 63:155004

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