San Diego Biomedical Informatics Education & Research (SABER)

圣地亚哥生物医学信息学教育

基本信息

  • 批准号:
    10616765
  • 负责人:
  • 金额:
    $ 52.01万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-07-01 至 2027-06-30
  • 项目状态:
    未结题

项目摘要

Abstract The San Diego Biomedical Informatics Education & Research (SABER) training program was awarded an NLM training grant in the summer of 2012 and renewed in 2017. In this renewal proposal, we describe our accomplishments for the past 8.75 years and our vision for the next five years. The SABER training program includes core faculty from the University of California San Diego (UCSD) Health Department of Biomedical Informatics, as well as multiple faculty across UCSD. Since the start of this program in 2012, we have hosted 78 long- and short-term trainees. Our pre-doctoral trainees enroll in competitive doctoral programs in Bioinformatics and Systems Biology (BISB), Computer Science, Cognitive Science, or Biomedical Sciences. Trainees complete a foundational curriculum in biomedical informatics (BMI), taught by our core faculty, in addition to core curricula from their respective degree programs. All of our trainees have been meeting their academic milestones and 11 have graduated. Our post- doctoral trainees enroll in a master’s program (Computer Science or Advanced Sciences), in addition to completing our foundational BMI curriculum. These trainees are embedded in projects at the medical center that help them contextualize the research methods they learn through coursework. All of our short-term trainees are under-represented minorities in science and participate in various research projects leading to presentations and publications. Most trainees who completed our BMI training have research positions in industry and academia— a few are continuing their training, two are employed in non-profit organizations, and several became assistant professors at various institutions (Carnegie Mellon, UCLA, UCSF, UCSD, Vanderbilt, etc.). Some highlights of our training in the past five years have been the high productivity of our trainees, who are pursuing innovative research in a wide spectrum of informatics areas of specialization, from translational bioinformatics to clinical research informatics to healthcare informatics. Additionally, the proportion of women (57%) and under-represented minorities (49%) is high in our overall trainee pool. We have filled all of our slots each year with highly qualified candidates from diverse educational and cultural backgrounds, who have already produced first-author publications in high impact journals (e.g., Cell, Science, JAMIA, PNAS) and conferences.
摘要

项目成果

期刊论文数量(121)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Association of Human iPSC Gene Signatures and X Chromosome Dosage with Two Distinct Cardiac Differentiation Trajectories
  • DOI:
    10.1016/j.stemcr.2019.09.011
  • 发表时间:
    2019-11-12
  • 期刊:
  • 影响因子:
    5.9
  • 作者:
    D'Antonio-Chronowska, Agnieszka;Donovan, Margaret K. R.;Frazer, Kelly A.
  • 通讯作者:
    Frazer, Kelly A.
Systematic genetic analysis of the MHC region reveals mechanistic underpinnings of HLA type associations with disease
  • DOI:
    10.7554/elife.48476
  • 发表时间:
    2019-11-20
  • 期刊:
  • 影响因子:
    7.7
  • 作者:
    D'Antonio, Matteo;Reyna, Joaquin;Frazer, Kelly A.
  • 通讯作者:
    Frazer, Kelly A.
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SHAMIM NEMATI其他文献

SHAMIM NEMATI的其他文献

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{{ truncateString('SHAMIM NEMATI', 18)}}的其他基金

Enhanced Metadata Design, Architecture, and Learning (MeDAL) for Development of Generalizable Deep Learning-based Predictive Analytics from Electronic Health Records
增强元数据设计、架构和学习 (MeDAL),用于根据电子健康记录开发基于深度学习的通用预测分析
  • 批准号:
    10610420
  • 财政年份:
    2022
  • 资助金额:
    $ 52.01万
  • 项目类别:
Enhanced Metadata Design, Architecture, and Learning (MeDAL) for Development of Generalizable Deep Learning-based Predictive Analytics from Electronic Health Records
增强元数据设计、架构和学习 (MeDAL),用于根据电子健康记录开发基于深度学习的通用预测分析
  • 批准号:
    10420954
  • 财政年份:
    2022
  • 资助金额:
    $ 52.01万
  • 项目类别:
GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors
使用电子健康记录和连续监测传感器进行通用脓毒症表型分析 (GRASP)
  • 批准号:
    10277331
  • 财政年份:
    2021
  • 资助金额:
    $ 52.01万
  • 项目类别:
GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors
使用电子健康记录和连续监测传感器进行通用脓毒症表型分析 (GRASP)
  • 批准号:
    10439876
  • 财政年份:
    2021
  • 资助金额:
    $ 52.01万
  • 项目类别:
GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors
使用电子健康记录和连续监测传感器进行通用脓毒症表型分析 (GRASP)
  • 批准号:
    10626899
  • 财政年份:
    2021
  • 资助金额:
    $ 52.01万
  • 项目类别:
GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors
使用电子健康记录和连续监测传感器进行通用脓毒症表型分析 (GRASP)
  • 批准号:
    10827775
  • 财政年份:
    2021
  • 资助金额:
    $ 52.01万
  • 项目类别:
Enhanced Metadata Design, Architecture, and Learning (MeDAL) for Development of Generalizable Deep Learning-based Predictive Analytics from Electronic Health Records
增强元数据设计、架构和学习 (MeDAL),用于根据电子健康记录开发基于深度学习的通用预测分析
  • 批准号:
    10265157
  • 财政年份:
    2020
  • 资助金额:
    $ 52.01万
  • 项目类别:
Deep Learning and Streaming Analytics for Prediction of Adverse Events in the ICU
用于预测 ICU 不良事件的深度学习和流分析
  • 批准号:
    9983413
  • 财政年份:
    2019
  • 资助金额:
    $ 52.01万
  • 项目类别:
San Diego Biomedical Informatics Education & Research (SABER)
圣地亚哥生物医学信息学教育
  • 批准号:
    10406030
  • 财政年份:
    2012
  • 资助金额:
    $ 52.01万
  • 项目类别:

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