MU Biomedical Informatics Research Training Program

密苏里大学生物医学信息学研究培训计划

基本信息

批准号：
7457697
负责人：
CHARLES W CALDWELL
金额：
$ 30.34万
依托单位：
UNIVERSITY OF MISSOURI-COLUMBIA
依托单位国家：
美国
项目类别：
财政年份：
1997
资助国家：
美国
起止时间：
1997-07-01 至 2012-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7457697
关键词：
Accountability Achievement Address Admission activity Affect Agreement Algorithms Analysis of Variance Applications Grants Architecture Area Artificial Intelligence Attention Award Bioinformatics Biological Biological Sciences Biology Biomedical Research Breast Cancer Center Support Grant Cellular biology Chronic Disease Class Clinical Clinical Data Clinical Decision Support Systems Clinical Informatics Clinical Research Clinical Sciences Collaborations Committee Members Communication Communities Competence Complex Computational Biology Computational Science Computer Analysis Computers Condition Conflict (Psychology)Consult Contracts Core Facility DNA Methylation Data Data Collection Data Security Databases Development Diagnostic tests Discipline Disease Disease regression Doctor of Philosophy Education Educational Curriculum Educational Status Educational process of instructing Electronics Elements Engineering Enrollment Ensure Environment Epigenetic Process Equilibrium Evaluation Extramural Activities Faculty Feedback Fellowship Fertilization Focus Groups Fostering Foundations Frequencies Funding GYPA gene Generations Genes Genetic Genomics Genotype Glycophorin A Goals Grant Group Interviews Group Meetings Health Health Information System Health Personnel Health Sciences Health Services Research Healthcare Healthcare Systems Hospice Care Hour Human Human Resources Imagery Impact evaluation Individual Informatics Information Retrieval Information Systems Information Technology Institutes Interdisciplinary Study Interview Java Joints Journals Kansas Knowledge Label Laboratories Language Lead Leadership Learning Life Link Maintenance Malignant Neoplasms Management Information Systems Manuscripts Master&apos s Degree Mathematics Measurable Measures Medical Medicine Mentors Methodology Methods Mining Minority Mission Missouri Modeling Modification Molecular Monitor Motivation Names Numbers Object Attachment Occupations Ontology Oral Oral Examination Outcome Paper Participant Pathologist Pathology Patients Pattern Recognition Peer Review Perception Performance Personal Communication Phenotype Physiology Placement Play Policies Population Positioning Attribute Postdoctoral Fellow Preparation Primary Health Care Principal Investigator Probability Process Productivity Program Evaluation Programming Languages Progress Reports Proteomics Public Health Informatics Publications Published Comment Publishing Purpose Qualifying Radiology Specialty Range Readiness Reading Recording of previous events Records Relative (related person)Reporting Research Research Activity Research Personnel Research Project Grants Research Proposals Research Training Resource Informatics Resources Retrieval Review Committee Role Rotation Rural Hospitals Schedule Schools Scientist Secure Sequence Analysis Series Software Engineering Solid Specialist Standards of Weights and Measures Statistical Data Interpretation Statistical Methods Strategic Planning Stress Structure Students Suggestion Surface Surveys System Systems Biology Systems Integration Telemedicine Thinking Time Training Training Programs United States National Institutes of Health Universities Veterinarians Visual Voting Washington Week Work Writing base bench to bedside biomedical informatics care systems career clinical application collaboratory college combinatorial computer science design desire direct patient care experience falls follow-up health care delivery health care service organization improved indexing innovation insight interest journal article knowledge base member molecular modeling next generation patient home care patient oriented pre-doctoral prevent professor programs psychologic remote sensing research and development research study satisfaction skills social statistics success symposium telehealth theories tool tool development trend

项目摘要

DESCRIPTION (provided by applicant): Biomedical informatics spans a research space essential in a number of areas of life sciences and healthcare. The demand for well-trained research scientists in this area is exploding, although there is real need for independent research and informatics tool development, there is also an increasing emphasis on interdisciplinary research, where biomedical informaticians play a central role. We propose a combined predoctoral (6 positions) and post-doctoral (6 positions) research training program that prepares research fellows to become leaders in the academic and research biomedical informatics community and valuable contributors to interdisciplinary biomedical research problems. The goal of the biomedical informatics research training (BIRT) program at the University of Missouri- Columbia (MU) is to provide strong foundational training in informatics theory and methodology, build upon the fundamentals of biological and computational sciences, and prepare research fellows to assume leadership roles working on important problems in life scienes, healthcare, bioinformatics, and computational biology. MU has a strong history of biomedical informatics research training, but with implementaion of a recent planned expansion of informatics resources, our campus research community is now better positioned than ever before to be leaders in biomedical informatics research training and further strengthen life sciences and healthcare research. The creation of the MU Informatics Institute (MUM) brings together biomedical informatics researchers from the campus, fully integrates faculty resources of 2 strong departments, Computer Science and Health Management and Informatics, and provides a structure for leveraging outstanding resources. The MUII will manage the PhD in Informatics program, as well as multidiscipliriary informatics research faculty and research trainees.

描述（由申请人提供）：生物医学信息学涵盖了许多生命科学领域至关重要的研究空间卫生保健。尽管真正需要独立的研究和信息学工具开发，但对该领域训练有素的研究科学家的需求正在爆炸，但生物医学信息学家发挥核心作用的跨学科研究也越来越重视。我们提出了一个合并的五位（6个职位）和博士后（6个职位）研究培训计划，该计划使研究人员准备成为学术和研究生物医学信息学界的领导者，并为跨学科生物医学研究问题提供了宝贵的贡献者。密苏里大学的生物医学信息学研究培训（BIRT）计划的目标哥伦比亚（MU）将提供有关信息学理论和方法论的强大基础培训，基于生物学和计算科学的基本原理，并准备研究研究员以在生命科学，医疗保健，生物信息学和计算生物学中在重要问题上发挥领导作用。 MU拥有生物医学信息学研究培训的悠久历史，但是随着最近的实施计划扩展信息学资源，我们的校园研究社区现在比以往任何时候都更好地成为生物医学信息学研究培训的领导者，并进一步加强了生命科学和医疗保健研究。 MU信息学研究所（MUM）的创建汇集了校园的生物医学信息学研究人员，完全整合了两个强大部门的教师资源，计算机科学和健康管理和信息学，并为利用出色资源提供了结构。 MUII将管理Informatics Program博士学位，以及多学科信息学研究学院和研究学员。