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.
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.
|Moosavinasab, Soheil; Patterson, Jeremy; Strouse, Robert et al. (2016) 'RE:fine drugs': an interactive dashboard to access drug repurposing opportunities. Database (Oxford) 2016:|
|Regan, Kelly; Abrams, Zachary; Sharpnack, Michael et al. (2016) DISCOVERY OF MOLECULARLY TARGETED THERAPIES. Pac Symp Biocomput 21:1-8|
|Latchana, Nicholas; Regan, Kelly; Howard, John Harrison et al. (2016) Global microRNA profiling for diagnostic appraisal of melanocytic Spitz tumors. J Surg Res 205:350-8|
|Skinner, Cassandra C; McMichael, Elizabeth L; Jaime-Ramirez, Alena C et al. (2016) Folate-conjugated immunoglobulin targets melanoma tumor cells for NK cell effector functions. Melanoma Res 26:329-37|
|Motiwala, Tasneem; Kite, Bobbie; Regan, Kelly et al. (2015) Domain Analysis of Integrated Data to Reduce Cost Associated with Liver Disease. Stud Health Technol Inform 216:414-8|
|Motiwala, T; Kutay, H; Zanesi, N et al. (2015) PTPROt-mediated regulation of p53/Foxm1 suppresses leukemic phenotype in a CLL mouse model. Leukemia 29:1350-9|
|Campbell, Amanda R; Regan, Kelly; Bhave, Neela et al. (2015) Gene expression profiling of the human natural killer cell response to Fc receptor activation: unique enhancement in the presence of interleukin-12. BMC Med Genomics 8:66|
|Raje, Satyajeet; Kite, Bobbie; Ramanathan, Jay et al. (2015) Real-time Data Fusion Platforms: The Need of Multi-dimensional Data-driven Research in Biomedical Informatics. Stud Health Technol Inform 216:1107|
|Alinari, Lapo; Mahasenan, Kiran V; Yan, Fengting et al. (2015) Selective inhibition of protein arginine methyltransferase 5 blocks initiation and maintenance of B-cell transformation. Blood 125:2530-43|
|Abrams, Zachary B; Peabody, Andrea L; Heerema, Nyla A et al. (2015) Text Mining and Data Modeling of Karyotypes to aid in Drug Repurposing Efforts. Stud Health Technol Inform 216:1037|
Showing the most recent 10 out of 17 publications