We seek renewal of our NLM Training Program in Biomedical Informatics (NLMTP), which the NLM has supported for twenty years. The program, evolving as biomedical informatics (BMI) itself has evolved, has consistently produced outstanding trainees. In this renewal, we address new challenges to BMI arising from digital information streaming from innumerable sensors, instruments and simulations, which are outrunning our capacity to accumulate, organize and analyze it. Advances in BMI are needed: 1) to make sense of datasets that may be massive, heterogeneous or even contain errors, 2) to cull from them important insights into fundamental problems of biomedicine and 3) to convey information in ways readily understood by researchers and clinicians. These are fundamental BMI problems, which we will address in the NLMTP renewal. We will emphasize health care/clinical informatics (HC), translational bioinformatics (TB) and clinical research informatics (CR), areas in which our trainees will contribute to progress needed to gain the full wealth of knowledge embedded in genomic, proteomic, genetic, epidemiological, and clinical data and a full return on our substantial investments in health information technology. Our trainees will bring to each of these BMI domains what we call data-driven inference and decision making (DIDM) by which we mean the use computer programs to seek associations in databases whose complexity hides such relations from even expert humans and cognitive informatics and decision making to make such discovered patterns intelligible to humans. Our pre-doctoral trainees will be selected from graduate students who have completed one year of study at one of six participating institutions. NMLTP training will combine DIDM and BMI specific courses and research to engage them with the range of opportunities in HC, TB and CR suggested above. We also will involve pre- and postdoctoral trainees in a set of courses and activities to facilitate their integration into the BMI community. Over many years, our NLMTP has brought computation, mathematics, statistics, simulation and advanced imaging to bear on biomedical problems that were before deemed intractable. Now our researchers are deploying powerful new computational methodologies for data exploration on an unprecedented scale that offer exciting opportunities for the training to prepare a new generation of BMI professionals. We are requesting 9 pre-doctoral and 6 postdoctoral positions for this renewal.

Public Health Relevance

GORRY, G.A. NLM T15 LM007093 Project Narrative - Relevance: We seek renewal of our NLM Training Program in Biomedical Informatics, which over many years has brought computation, mathematics, statistics, simulation and advanced imaging to bear on biomedical problems that were before deemed intractable. Now our program will expand to include powerful new computational methodologies of data-driven inference and decision making, and cognitive informatics, to cull the most important elements from genomic, proteomic, genetic, epidemiological, and clinical data applying to fundamental problems of biomedicine, and to enable a full return on our substantial investments in health information technology. Our 9 pre- and 6 postdoctoral trainees will prepare for careers as biomedical informatics professionals by pursuing coursework and research projects in health care/clinical informatics, translational bioinformatics, and clinical research informatics.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Continuing Education Training Grants (T15)
Project #
2T15LM007093-21
Application #
8261278
Study Section
Special Emphasis Panel (ZLM1-AP-T (01))
Program Officer
Florance, Valerie
Project Start
1992-07-01
Project End
2017-06-30
Budget Start
2012-07-01
Budget End
2013-06-30
Support Year
21
Fiscal Year
2012
Total Cost
$614,374
Indirect Cost
$52,475
Name
Rice University
Department
Biostatistics & Other Math Sci
Type
Schools of Engineering
DUNS #
050299031
City
Houston
State
TX
Country
United States
Zip Code
77005
Rochat, Ryan H; Hecksel, Corey W; Chiu, Wah (2014) Cryo-EM techniques to resolve the structure of HSV-1 capsid-associated components. Methods Mol Biol 1144:265-81
Burstein, Matthew D; Robinson, Jill Oliver; Hilsenbeck, Susan G et al. (2014) Pediatric data sharing in genomic research: attitudes and preferences of parents. Pediatrics 133:690-7
Cowley Jr, Allen W; Moreno, Carol; Jacob, Howard J et al. (2014) Characterization of biological pathways associated with a 1.37 Mbp genomic region protective of hypertension in Dahl S rats. Physiol Genomics 46:398-410
Liu, Kevin; Warnow, Tandy (2014) Large-scale multiple sequence alignment and tree estimation using SATe. Methods Mol Biol 1079:219-44
Wang, Zhao; Hryc, Corey F; Bammes, Benjamin et al. (2014) An atomic model of brome mosaic virus using direct electron detection and real-space optimization. Nat Commun 5:4808
Liu, Kevin J; Dai, Jingxuan; Truong, Kathy et al. (2014) An HMM-based comparative genomic framework for detecting introgression in eukaryotes. PLoS Comput Biol 10:e1003649
Walker, Gary V; Awan, Musaddiq; Tao, Randa et al. (2014) Prospective randomized double-blind study of atlas-based organ-at-risk autosegmentation-assisted radiation planning in head and neck cancer. Radiother Oncol 112:321-5
Wang, Linghua; Yamaguchi, Shigeru; Burstein, Matthew D et al. (2014) Novel somatic and germline mutations in intracranial germ cell tumours. Nature 511:241-5
Marciano, David C; Lua, Rhonald C; Katsonis, Panagiotis et al. (2014) Negative feedback in genetic circuits confers evolutionary resilience and capacitance. Cell Rep 7:1789-95
Viskovska, Maria; Anish, Ramakrishnan; Hu, Liya et al. (2014) Probing the sites of interactions of rotaviral proteins involved in replication. J Virol 88:12866-81

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