课题基金 / 基金详情

Delaware Clinical and Translational Research ACCEL Program (BERD Core)

Delaware Clinical and Translational Research ACCEL Program (BERD Core)
特拉华州临床和转化研究 ACCEL 计划(BERD 核心)
批准号:
10721015
负责人:
CATHY H. WU
金额:
$62.86万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
未结题
起止时间:
2013-09-25 至 2028-06-30

项目摘要

项目成果

CATHY H. WU的其他基金

相似基金

相关文献

中文摘要
翻译
摘要- berd
英文摘要
ABSTRACT - BERD The Biostatistics, Epidemiology and Research Design (BERD) Core of the Delaware ACCEL CTR has matured in the last 9 years into a large, stable yet dynamic core with a repertoire of skills and resources that enables quality clinical and translational (C&T) research. BERD’ s accomplishments result from the close collaboration between ACCEL partner institutions: the University of Delaware, the Nemours Children’ Health system, ChristianaCare Health Services Inc., the Medical University of South Carolina and Delaware State University. BERD assembles a diverse core of skilled biostatisticians, epidemiologists, and bioinformaticians from each Institution who have the common goal of advancing translational science and assist C&T investigators. The BERD team from MUSC was instrumental in helping us launch and develop a strong, sustainable BERD over the last nine years, but the DE-based BERD team has matured to a point of independence. Phase 3 BERD (without MUSC) will build on this momentum to meet the evolving skills needed for C&T research. With the increasing availability of vast amounts of data, we have the potential to provide deeper insight into the determinants of disease at the individual and population level. To do so, we must develop new methodologies and tools to analyze these data. We will enrich the BERD resources with expertise in Machine Learning (ML), Natural language Processing (NLP), cloud computing, geospatial analysis and novel biostatistics methods to address health disparities. We propose the following specific aims:1) Expand and enrich consultative services for clinical, translational, population health sciences. BERD will leverage the expertise in ML, NLP, cloud computing, and geospatial analysis that already exists in some ACCEL-CTR Institutions and will make this expertise available to all Investigators; 2) Develop innovative methods in biostatistics and data sciences including reducing selections biases, enhancing the power of studies, and developing design and analysis plans for studies of vulnerable populations or very small numbers of subjects; 3) Promote virtual self-paced synchronous and asynchronous learning opportunities. We will continue to offer TechTalks and Innovative Discoveries Series lectures and will vet on-line material for posting on our Education hub; 4) Expand the biomedical informatics research infrastructure by leveraging expertise and skills acquired in the last nine years to establish an integrated network of resources focused on addressing critical healthcare needs in Delaware. The BERD specific aims build upon the overall aims of the ACCEL CTR phase 3. By expanding BERD expertise to better meet the needs of Investigators, we will improve the scientific infrastructure and culture. We will develop Innovative methodologies to foster projects aiming at improving health equity. Access to the cloud will allow teams of clinicians and scientists to develop projects that have high clinical impact. Access to asynchronous learning will help clinician researchers to sharpen their skills in biostatistics/epidemiology.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Protein Knowledge Networks and Semantic Computing for Disease Discovery
  • 批准号:
    10472776
  • 项目类别:
  • 资助金额:
    $43.34万
  • 财政年份:
    2021
  • 负责人:
    CATHY H. WU
  • 依托单位:
Protein Knowledge Networks and Semantic Computing for Disease Discovery
  • 批准号:
    10207002
  • 项目类别:
  • 资助金额:
    $43.34万
  • 财政年份:
    2021
  • 负责人:
    CATHY H. WU
  • 依托单位:
Protein Knowledge Networks and Semantic Computing for Disease Discovery
  • 批准号:
    10698082
  • 项目类别:
  • 资助金额:
    $43.34万
  • 财政年份:
    2021
  • 负责人:
    CATHY H. WU
  • 依托单位:
Linking Text Mining and Data Mining for Biomedical Knowledge Discovery
  • 批准号:
    8130991
  • 项目类别:
  • 资助金额:
    $14.4万
  • 财政年份:
    2010
  • 负责人:
    CATHY H. WU
  • 依托单位:
海外基金