The objective of this grant is to support training of the upcoming generation of scientists in medical imaging informatics. The next significant challenge in biomedical informatics will be to support new knowledge discovery: thus, the application domain of this training program will be on informatics in support of clinical and translational research. In addition to existing informatics research, fundamental theories and developments from a spectrum of disciplines (computer science, applied math, statistics, medicine) will be required to facilitate such informatics research, and must be integrated into a forward-looking training program. This program further focuses on imaging informatics: with the now ubiquitous usage of imaging as an in vivo method for objectively documenting and understanding human disease, new and unique research challenges arise in the acquisition, the understanding, and the usage of such data towards creating novel insights. Evolving from the current UCLA NLM training grant in imaging-based medical informatics, doctoral (PhD) and postdoctoral training are offered through an approved degree-granting track in medical imaging informatics in the UCLA Biomedical Engineering Interdepartmental Program. The program consists of a comprehensive one year core curriculum that provides a breadth of understanding in biomedical informatics (medical data standards and information architectures;knowledge representation;medical decision making;information extraction/ retrieval;bioinformatics) and the underlying principles of medical image acquisition, standardization, and content understanding. Further specialization is achieved through subsequent elective courses that provide expertise in a given informatics area. Importantly, the program stresses informatics research and its subsequent application, requiring trainees to conduct novel and innovative investigations as part of the course of study. Core faculty are drawn from an interdisciplinary group of researchers in the UCLA Schools of Medicine, Engineering, Letters &Sciences, and Information Studies. This program will be able to leverage the wide array of biomedical and informatics endeavors from its core faculty and across the UCLA campus to provide students with numerous opportunities for research. Additionally, this training program will support short-term summer training for undergraduate students to encourage interest in biomedical and imaging informatics graduate work.

National Institute of Health (NIH)
National Library of Medicine (NLM)
Continuing Education Training Grants (T15)
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Special Emphasis Panel (ZLM1-AP-T (O1))
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Florance, Valerie
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University of California Los Angeles
Schools of Medicine
Los Angeles
United States
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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
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
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; 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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