The purpose of the proposed project, entitled The Ohio State University Clinical and Translational Research Informatics Training Program (CTRIP), is to establish a novel and highly impactful Biomedical Informatics training initiative that focuses upon the emergent and rapidly growing sub-domains of Translational Bioinformatics (TBI) and Clinical Research Informatics (CRI). This program will leverage the unique scholarly and environmental strengths present at The Ohio State University Medical Center (OSUMC), and employ two well-established and highly successful pre- and post-doctoral training mechanisms present within The Ohio State University College of Medicine for degree granting purposes. Trainees will be involved in a combination of didactic and application-oriented instruction modalities, and will pursue independent research projects as a capstone to their curricula. The TBI track of the program will specifically focus upon pre-doctoral training, and combine core informatics competencies with a rigorous grounding in the biology of human disease. The CRI track of the program will specifically focus on post-doctoral training for individuals with terminal clinical degrees (e.g., MD, DO, or equivalent), and will similarly combine core informatics competencies with a rigorous grounding in clinical research methodology. The overall training program will house no more than six funded pre- and post-doctoral trainees at any given time. Our intent with the CTRIP program is to utilize an agile and highly innovative curricula development and evaluation plan, thus allowing for constant program optimization and adaptation to evolving trends and developments in the basic and applied Biomedical Informatics knowledge base.

Public Health Relevance

The Ohio State University Clinical and Translational Research Informatics Training Program (CTRIP) The purpose of the proposed project, entitled 'The Ohio State University Clinical and Translational Research Informatics Training Program (CTRIP)' is to establish a Biomedical Informatics training initiative that focuses upon the emergent and rapidly growing sub-domains of Translational Bioinformatics (TBI) and Clinical Research Informatics (CRI). This program will catalyze the formation and dissemination of an informatics workforce capable of advancing clinical and translational research in order to speed the process by which new basic science discoveries and translated into actionable therapies for human diseases.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Continuing Education Training Grants (T15)
Project #
4T15LM011270-05
Application #
9105401
Study Section
Special Emphasis Panel (ZLM1)
Program Officer
Florance, Valerie
Project Start
2012-07-01
Project End
2017-06-30
Budget Start
2016-07-01
Budget End
2017-06-30
Support Year
5
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Ohio State University
Department
Miscellaneous
Type
Schools of Medicine
DUNS #
832127323
City
Columbus
State
OH
Country
United States
Zip Code
43210
Badawi, Mohamed; Kim, Jihye; Dauki, Anees et al. (2018) CD44 positive and sorafenib insensitive hepatocellular carcinomas respond to the ATP-competitive mTOR inhibitor INK128. Oncotarget 9:26032-26045
Latchana, Nicholas; DiVincenzo, Mallory J; Regan, Kelly et al. (2018) Alterations in patient plasma microRNA expression profiles following resection of metastatic melanoma. J Surg Oncol 118:501-509
Zhang, Bofei; Hu, Senyang; Baskin, Elizabeth et al. (2018) RaMP: A Comprehensive Relational Database of Metabolomics Pathways for Pathway Enrichment Analysis of Genes and Metabolites. Metabolites 8:
Johnson, Travis S; Li, Sihong; Kho, Jonathan R et al. (2018) Network analysis of pseudogene-gene relationships: from pseudogene evolution to their functional potentials. Pac Symp Biocomput 23:536-547
Siddiqui, Jalal K; Baskin, Elizabeth; Liu, Mingrui et al. (2018) IntLIM: integration using linear models of metabolomics and gene expression data. BMC Bioinformatics 19:81
McHaney-Lindstrom, M; Hebert, C; Flaherty, J et al. (2018) Analysis of intra-hospital transfers and hospital-onset Clostridium difficile infection. J Hosp Infect :
Wang, Min; Abrams, Zachary B; Kornblau, Steven M et al. (2018) Thresher: determining the number of clusters while removing outliers. BMC Bioinformatics 19:9
Wani, Nissar Ahmad; Zhang, Bo; Teng, Kun-Yu et al. (2018) Reprograming of Glucose Metabolism by Zerumbone Suppresses Hepatocarcinogenesis. Mol Cancer Res 16:256-268
Dewart, Courtney M; Gao, Yuan; Rahman, Protiva et al. (2018) Penicillin allergy and association with ciprofloxacin coverage in community-onset urinary tract infection. Infect Control Hosp Epidemiol 39:1127-1128
Sharpnack, Michael F; Chen, Bin; Aran, Dvir et al. (2018) Global Transcriptome Analysis of RNA Abundance Regulation by ADAR in Lung Adenocarcinoma. EBioMedicine 27:167-175

Showing the most recent 10 out of 38 publications