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 #
5P41GM103545-21
Application #
9691385
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Resat, Haluk
Project Start
2000-09-01
Project End
2021-04-30
Budget Start
2019-05-01
Budget End
2021-04-30
Support Year
21
Fiscal Year
2019
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
Yamashita, Kennosuke; Quang, Claire; Schroeder, Joyce D et al. (2018) Distance between the left atrium and the vertebral body is predictive of esophageal movement in serial MR imaging. J Interv Card Electrophysiol 52:149-156
Ghafoori, Elyar; Angel, Nathan; Dosdall, Derek J et al. (2018) Atrial fibrillation observed on surface ECG can be atrial flutter or atrial tachycardia. J Electrocardiol 51:S67-S71
Burton, B M; Aras, K K; Good, W W et al. (2018) Image-based modeling of acute myocardial ischemia using experimentally derived ischemic zone source representations. J Electrocardiol 51:725-733
Coll-Font, Jaume; Erem, Burak; Brooks, Dana H (2018) A Potential-Based Inverse Spectral Method to Noninvasively Localize Discordant Distributions of Alternans on the Heart From the ECG. IEEE Trans Biomed Eng 65:1554-1563
Janson, Andrew P; Butson, Christopher R (2018) Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models. J Vis Exp :
Coll-Font, Jaume; Brooks, Dana H (2018) Tracking the Position of the Heart From Body Surface Potential Maps and Electrograms. Front Physiol 9:1727
Tate, Jess; Stinstra, Jeroen; Pilcher, Thomas et al. (2018) Measuring defibrillator surface potentials: The validation of a predictive defibrillation computer model. Comput Biol Med 102:402-410
Officers of the SIAM Activity Group on Computational Science and Engineering (SIAG/CSE), 2013-2014 (2018) Research and Education in Computational Science and Engineering. SIAM Rev Soc Ind Appl Math 60:707-754
Langowski, Julian K A; Schipper, Henk; Blij, Anne et al. (2018) Force-transmitting structures in the digital pads of the tree frog Hyla cinerea: a functional interpretation. J Anat 233:478-495
Kholmovski, Eugene G; Silvernagel, Josh; Angel, Nathan et al. (2018) Acute noncontrast T1-weighted magnetic resonance imaging predicts chronic radiofrequency ablation lesions. J Cardiovasc Electrophysiol 29:1556-1562

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