An imaging-based medical informatics training program is proposed by a consortium of institutions with strong research and teaching backgrounds in this field. Building from an existing Biomedical Physics Graduate Program, the proposal extends the current curriculum with biomedical informatics-specific classes; candidates completing the program will become knowledgeable in basic and advanced medical imaging, information system architectures, data and process modeling, knowledge representations, information retrieval and visualization, image communication and security, and health services research issues - all in the context of current and future healthcare environments and technologies. The program provides students with opportunities in numerous existing research projects, and leads to either an MS degree (approximately two years) and/or a PhD degree (approximately five years). This program also supports postdoctoral trainees from basic science and medical backgrounds, providing research and teaching opportunities for qualified individuals to partake in imaging-based informatics. UCLA is the lead institution of this consortium, with faculty participating from the Departments of Radiological Sciences (with an accredited biomedical physics program), Computer Science, Information and Library Sciences, and Health Services Research, including Rand Corporation. The consortium also includes the University of Southern California (USC), with its strong background and current research in image processing and informatics, and an active medical imaging and telemedicine graduate program. The consortium is completed with the participation of the Charles R. Drew University, assuring recruitment of minority students from a medical school; this affiliation will enable under-represented students to achieve a combined MS/MD degree, leading to higher acceptance into competitive residency programs. Together, these three universities provide the resources, research, and teaching infrastructure for an opportunity to establish a unique national-level training program in imaging-based medical informatics in Southern California.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Continuing Education Training Grants (T15)
Project #
5T15LM007356-04
Application #
6915694
Study Section
Special Emphasis Panel (ZLM1-MMR-T (J2))
Program Officer
Florance, Valerie
Project Start
2002-07-01
Project End
2007-06-30
Budget Start
2005-07-01
Budget End
2006-06-30
Support Year
4
Fiscal Year
2005
Total Cost
$338,946
Indirect Cost
Name
University of California Los Angeles
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Garcia-Gathright, Jean I; Matiasz, Nicholas J; Adame, Carlos et al. (2018) Evaluating Casama: Contextualized semantic maps for summarization of lung cancer studies. Comput Biol Med 92:55-63
Garcia-Gathright, Jean I; Matiasz, Nicholas J; Garon, Edward B et al. (2016) Toward patient-tailored summarization of lung cancer literature. IEEE EMBS Int Conf Biomed Health Inform 2016:449-452
Woodbridge, Jonathan; Mortazavi, Bobak; Bui, Alex A T et al. (2016) Improving Biomedical Signal Search Results in Big Data Case-Based Reasoning Environments. Pervasive Mob Comput 28:69-80
Garcia-Gathright, Jean I; Oh, Andrea; Abarca, Phillip A et al. (2015) Representing and extracting lung cancer study metadata: study objective and study design. Comput Biol Med 58:63-72
McNamara, Mary; Arnold, Corey; Sarma, Karthik et al. (2015) Patient Portal Preferences: Perspectives on Imaging Information. J Assoc Inf Sci Technol 66:1606-1615
Nir, Talia M; Jahanshad, Neda; Busovaca, Edgar et al. (2014) Mapping white matter integrity in elderly people with HIV. Hum Brain Mapp 35:975-92
Speier, William; Arnold, Corey; Lu, Jessica et al. (2014) Integrating language information with a hidden Markov model to improve communication rate in the P300 speller. IEEE Trans Neural Syst Rehabil Eng 22:678-84
Burns, Brian; Wilson, Neil E; Furuyama, Jon K et al. (2014) Non-uniformly under-sampled multi-dimensional spectroscopic imaging in vivo: maximum entropy versus compressed sensing reconstruction. NMR Biomed 27:191-201
Speier, William; Arnold, Corey; Pouratian, Nader (2013) Evaluating true BCI communication rate through mutual information and language models. PLoS One 8:e78432
Villalon-Reina, Julio; Jahanshad, Neda; Beaton, Elliott et al. (2013) White matter microstructural abnormalities in girls with chromosome 22q11.2 deletion syndrome, Fragile X or Turner syndrome as evidenced by diffusion tensor imaging. Neuroimage 81:441-454

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