The Overall section describes our plans for the renewal of the Center for Integrated Biomedical Computing (CIBC), hosted by the Scientific Computing and Imaging (SCI) Institute at the University of Utah. The overarching goal of this proposal is to advance the state of practice in biomedical computing and its applications to important problems in fundamental biomedical science and in the translation of this science to clinical practice. We will achieve this goal by creating advanced computational tools, tailored to the specific domains of image-based modeling, simulation, and visualization-as well as by releasing readily usable, open- source software. We will work closely with biomedical scientists, engineers, and clinical collaborators to develop these techniques and we will train them in the use of these new tools. To this end, we will host regular workshops where users of our software can meet and work directly with the researchers and software engineers who created the Center's software tools. We have assembled a highly experienced and talented team of Co-PIs, Driving Biological Partners (DBPs), and collaborators. The CIBC Co-PIs have decades of experience with large, multi-investigator projects, software development and dissemination, and the training of scientists to use advanced biomedical software. Our DBPs represent leaders in their fields who are committed to working closely with the CIBC investigators to advance their software tools and their science, as well as share their experiences with other biomedical researchers. To achieve our goals, each component of the Center has developed an extensive set of specific aims covering research and development, collaboration, and dissemination and training.
These aims will provide the framework for the next five years of our growth.

Public Health Relevance

The overarching goal of this proposal is to advance the state of practice in biomedical computing and its applications to important problems in fundamental biomedical science and in the translation of this science to clinical practice. We will achieve thi goal by creating advanced computational tools, tailored to the specific domains of image-based modeling, simulation, and visualization- as well as the release of readily usable, open-source software. We will work closely with biomedical scientists, engineers, and clinical collaborators to develop these techniques, and we will train them in the use of these new tools. To this end, we will host regular workshops where users of our software can meet and work directly with the researchers and software engineers who created the Center's software tools.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Biotechnology Resource Grants (P41)
Project #
5P41GM103545-18
Application #
9116879
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Sheeley, Douglas
Project Start
2000-09-01
Project End
2020-04-30
Budget Start
2016-05-01
Budget End
2017-04-30
Support Year
18
Fiscal Year
2016
Total Cost
Indirect Cost
Name
University of Utah
Department
Type
Organized Research Units
DUNS #
009095365
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112
Thomas, Samuel; Silvernagel, Josh; Angel, Nathan et al. (2018) Higher contact force during radiofrequency ablation leads to a much larger increase in edema as compared to chronic lesion size. J Cardiovasc Electrophysiol 29:1143-1149
Guler, Seyhmus; Dannhauer, Moritz; Roig-Solvas, Biel et al. (2018) Computationally optimized ECoG stimulation with local safety constraints. Neuroimage 173:35-48
Navarro, Nicolas; Murat Maga, A (2018) Genetic mapping of molar size relations identifies inhibitory locus for third molars in mice. Heredity (Edinb) 121:1-11
Rodenhauser, Anton; Good, Wilson W; Zenger, Brian et al. (2018) PFEIFER: Preprocessing Framework for Electrograms Intermittently Fiducialized from Experimental Recordings. J Open Source Softw 3:
Killian, Megan L; Locke, Ryan C; James, Michael G et al. (2018) Novel model for the induction of postnatal murine hip deformity. J Orthop Res :
Tate, Jess; Gillette, Karli; Burton, Brett et al. (2018) Reducing Error in ECG Forward Simulations With Improved Source Sampling. Front Physiol 9:1304
Sefton, Elizabeth M; Gallardo, Mirialys; Kardon, Gabrielle (2018) Developmental origin and morphogenesis of the diaphragm, an essential mammalian muscle. Dev Biol 440:64-73
Yamashita, Kennosuke; Kholmovski, Eugene; Ghafoori, Elyar et al. (2018) Characterization of edema after cryo and radiofrequency ablations based on serial magnetic resonance imaging. J Cardiovasc Electrophysiol :
Cluitmans, Matthijs; Brooks, Dana H; MacLeod, Rob et al. (2018) Validation and Opportunities of Electrocardiographic Imaging: From Technical Achievements to Clinical Applications. Front Physiol 9:1305
Burton, Brett M; Aras, Kedar K; Good, Wilson W et al. (2018) A Framework for Image-Based Modeling of Acute Myocardial Ischemia Using Intramurally Recorded Extracellular Potentials. Ann Biomed Eng 46:1325-1336

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