(From original 2016 training grant proposal) The Department of Medical Informatics & Clinical Epidemiology (DMICE) of Oregon Health & Science University (OHSU) is submitting this competitive renewal for a sixth five-year cycle of the National Library of Medicine (NLM) Research Training in Biomedical Informatics and Data Science Program. The overall objective of our program remains the same in aiming to train future researchers, faculty, and/or leaders in the field of biomedical informatics. The rationale for these objectives is that individual health, health care, public health, and biomedical research can be enhanced through the application of the theory and practice of biomedical informatics, data science, and related areas to improve human health. The design of our program is for predoctoral trainees to pursue a PhD in biomedical informatics and for postdoctoral fellows to obtain further training that includes a research master's degree if they have no prior degree in biomedical informatics. The educational program for all trainees consists of coursework; a substantial research project culminating in dissertation for PhD students and thesis for master's students; and associated publications, presentations, and other academic activities related to their research. In this funding cycle, we propose to maintain a steady state of 11 predoctoral trainees (including two environmental exposure trainees), six postdoctoral trainees, and four short-term diversity trainees. The OHSU Biomedical Informatics Fellowship Program has been a leader and innovator in the NLM training grant program. In this next funding cycle, we aim to build on our past success by: 1. Improving and expanding coursework and research experiences for trainees, especially in transformational areas such as data science and analytics 2. Enhancing our evaluation and tracking of progress of trainees during their course of study and preparing them for a variety of research-oriented careers 3. Achieving greater diversity among our trainees and increasing resources to ensure their success 4. Continuing our leadership in the NLM training program and other informatics educational initiatives nationally and globally

Public Health Relevance

(From original 2016 training grant proposal) The Oregon Health & Science University (OHSU) Biomedical Informatics Training Program trains future researchers and leaders in biomedical and health informatics, the field devoted to improving personal health, health care, public health, and biomedical research through the use of information and its associated technologies. This National Library of Medicine (NLM) Training Grant will enable us to support predoctoral (PhD students) and postdoctoral trainees pursuing courses, an in-depth research project, and related academic activities. This proposal is a competitive renewal for a sixth five-year cycle of funding for the OHSU program, which has been a leader and innovator in the program for 25 years.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Continuing Education Training Grants (T15)
Project #
3T15LM007088-28S1
Application #
10173508
Study Section
Special Emphasis Panel (ZLM1)
Program Officer
Florance, Valerie
Project Start
1992-07-01
Project End
2022-06-30
Budget Start
2020-06-05
Budget End
2020-06-30
Support Year
28
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Oregon Health and Science University
Department
Biostatistics & Other Math Sci
Type
Schools of Medicine
DUNS #
096997515
City
Portland
State
OR
Country
United States
Zip Code
97239
Mavigner, Maud; Raper, Jessica; Kovacs-Balint, Zsofia et al. (2018) Postnatal Zika virus infection is associated with persistent abnormalities in brain structure, function, and behavior in infant macaques. Sci Transl Med 10:
Ivlev, Ilya; Jerabkova, Silvie; Mishra, Meenakshi et al. (2018) Prostate Cancer Screening Patient Decision Aids: A Systematic Review and Meta-analysis. Am J Prev Med 55:896-907
Gavin, David P; Hashimoto, Joel G; Lazar, Nathan H et al. (2018) Stable Histone Methylation Changes at Proteoglycan Network Genes Following Ethanol Exposure. Front Genet 9:346
Sanati, Nasim; Iancu, Ovidiu D; Wu, Guanming et al. (2018) Network-Based Predictors of Progression in Head and Neck Squamous Cell Carcinoma. Front Genet 9:183
Veazie, Stephanie; Winchell, Kara; Gilbert, Jennifer et al. (2018) Rapid Evidence Review of Mobile Applications for Self-management of Diabetes. J Gen Intern Med 33:1167-1176
Tyner, Jeffrey W; Tognon, Cristina E; Bottomly, Daniel et al. (2018) Functional genomic landscape of acute myeloid leukaemia. Nature 562:526-531
Feczko, E; Balba, N M; Miranda-Dominguez, O et al. (2018) Subtyping cognitive profiles in Autism Spectrum Disorder using a Functional Random Forest algorithm. Neuroimage 172:674-688
Rudolph, Marc D; Graham, Alice M; Feczko, Eric et al. (2018) Maternal IL-6 during pregnancy can be estimated from newborn brain connectivity and predicts future working memory in offspring. Nat Neurosci 21:765-772
Goldstein, Isaac H; Hribar, Michelle R; Sarah, Read-Brown et al. (2017) Quantifying the Impact of Trainee Providers on Outpatient Clinic Workflow using Secondary EHR Data. AMIA Annu Symp Proc 2017:760-769
Blucher, Aurora S; Choonoo, Gabrielle; Kulesz-Martin, Molly et al. (2017) Evidence-Based Precision Oncology with the Cancer Targetome. Trends Pharmacol Sci 38:1085-1099

Showing the most recent 10 out of 79 publications