Pittsburgh Biomedical Informatics Training Program

匹兹堡生物医学信息学培训计划

基本信息

项目摘要

Since 1998, the Pittsburgh Biomedical Informatics Training Program (BMITP) has provided advanced training in the application of computing to challenging problems in biomedicine. In addition to our long history, our program is notable for continuous evolution of our programs, a highly collaborative research environment, and strong institutional support from the University of Pittsburgh and the University of Pittsburgh Medical Center (UPMC). BMITP is housed in the Department of Biomedical Informatics (DBMI) in Pitt’s School of Medicine. DBMI provides, space, equipment, and financial support for training program administration, faculty, and trainees. BMITP’s core faculty of 39 members, including the 19 faculty members with primary appointments in DBMI. BMITP is led by the Program Director and Associate Director, with the help of an experienced program administrator and a leadership group of faculty co-directors. The Pittsburgh Biomedical Informatics Training Program offers research training in translational bioinformatics, health care/clinical informatics, imaging informatics, clinical research informatics, and public health informatics. Trainees seek MS or PhD degrees in either Biomedical Informatics or through the Biomedical Informatics Track of the Intelligent Systems Program, housed in Pitt’s School of Computing and Information. We also train MD/PhD students through the University of Pittsburgh’s Medical Scientist Training Program. Postdoctoral trainees undertake advanced research, with the goal of developing research programs and funding applications that will support their transition to independence. A broad variety of courses at both the University of Pittsburgh and Carnegie-Mellon University are available to all trainees. During the past five years, we have revised our curriculum, our admissions processes, and our preliminary and comprehensive exams. We have also expanded our data science offerings and increased our outreach efforts with minority serving institutions. Our plans for the next five years include further strengthening of our evaluation efforts and our efforts to recruit diverse trainees, to enhance mentoring, to expand the range of internship opportunities available to trainees, and to use our streamlined evaluations to help trainees productively reach milestones and complete their degrees in a timely manner. We have a strong track record of training successful biomedical informatics researchers, many of whom have gone on to be leaders in the field. Trainees in our programs publish research articles in high-impact journals, win national awards for their research, successfully compete for NIH funding, and secure research positions in academia, industry, and government.
自 1998 年以来,匹兹堡生物医学信息学培训计划 (BMITP) 提供了 应用计算解决生物医学难题的高级培训。在 除了我们悠久的历史之外,我们的计划还以不断发展而著称, 高度协作的研究环境以及来自大学的强大机构支持 匹兹堡和匹兹堡大学医学中心 (UPMC)。 BMITP 位于 皮特医学院生物医学信息学系 (DBMI)。 DBMI 提供, 为培训项目管理、师资和人员提供空间、设备和财政支持 实习生。 BMITP的核心教职人员有39名,其中小学教职人员19名 DBMI 中的任命。 BMITP 由项目总监和副总监领导, 经验丰富的项目管理员和教职联合主任领导小组的帮助。 匹兹堡生物医学信息学培训计划提供以下方面的研究培训 转化生物信息学、医疗保健/临床信息学、影像信息学、临床 研究信息学和公共卫生信息学。学员寻求硕士学位或博士学位 生物医学信息学或通过智能系统的生物医学信息学轨道 该项目位于皮特大学计算与信息学院。我们还培养MD/PhD学生 通过匹兹堡大学的医学科学家培训计划。博士后实习生 开展高级研究,目标是制定研究计划和资金 将支持他们向独立过渡的应用程序。两者的课程种类丰富 匹兹堡大学和卡内基梅隆大学向所有学员开放。 在过去的五年里,我们修改了我们的课程、招生流程以及 我们的初步考试和综合考试。我们还扩展了我们的数据科学产品 并加大了与少数族裔服务机构的外展力度。我们未来五年的计划 年包括进一步加强我们的评估工作以及我们招募多元化人员的努力 加强对受训人员的指导,扩大实习机会范围 学员,并使用我们简化的评估来帮助学员高效地实现里程碑 并及时完成学位。 我们在培训成功的生物医学信息学研究人员方面拥有良好的记录, 其中许多人后来成为该领域的领导者。我们计划中的学员发表 在高影响力期刊上发表研究论文,成功获得国家级奖项 竞争 NIH 资助,并在学术界、工业界和政府中获得研究职位。

项目成果

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HARRY S HOCHHEISER其他文献

HARRY S HOCHHEISER的其他文献

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{{ truncateString('HARRY S HOCHHEISER', 18)}}的其他基金

Cancer Deep Phenotyping from Electronic Medical Records
根据电子病历进行癌症深度表型分析
  • 批准号:
    10594128
  • 财政年份:
    2022
  • 资助金额:
    $ 82.92万
  • 项目类别:
Cancer Deep Phenotype Extraction from Electronic Medical Records
从电子病历中提取癌症深层表型
  • 批准号:
    10058470
  • 财政年份:
    2020
  • 资助金额:
    $ 82.92万
  • 项目类别:
Cancer Deep Phenotype Extraction from Electronic Medical Records
从电子病历中提取癌症深层表型
  • 批准号:
    10268998
  • 财政年份:
    2020
  • 资助金额:
    $ 82.92万
  • 项目类别:
Cancer Deep Phenotype Extraction from Electronic Medical Records
从电子病历中提取癌症深层表型
  • 批准号:
    10472741
  • 财政年份:
    2020
  • 资助金额:
    $ 82.92万
  • 项目类别:
MIDAS Coordination Center
MIDAS协调中心
  • 批准号:
    10457369
  • 财政年份:
    2019
  • 资助金额:
    $ 82.92万
  • 项目类别:
Pittsburgh Biomedical Informatics Training Program
匹兹堡生物医学信息学培训计划
  • 批准号:
    9378111
  • 财政年份:
    2016
  • 资助金额:
    $ 82.92万
  • 项目类别:
Pittsburgh Biomedical Informatics Training Program
匹兹堡生物医学信息学培训计划
  • 批准号:
    9263052
  • 财政年份:
    1987
  • 资助金额:
    $ 82.92万
  • 项目类别:
Pittsburgh Biomedical Informatics Training Program
匹兹堡生物医学信息学培训计划
  • 批准号:
    9095440
  • 财政年份:
    1987
  • 资助金额:
    $ 82.92万
  • 项目类别:
Pittsburgh Biomedical Informatics Training Program
匹兹堡生物医学信息学培训计划
  • 批准号:
    10208965
  • 财政年份:
    1987
  • 资助金额:
    $ 82.92万
  • 项目类别:
Pittsburgh Biomedical Informatics Training Program
匹兹堡生物医学信息学培训计划
  • 批准号:
    10615588
  • 财政年份:
    1987
  • 资助金额:
    $ 82.92万
  • 项目类别:

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COLLABORATIVE RESEARCH: Social Influence in Eyewitness Identification Procedures: Do Blind Administrator Behaviors Magnify the Effects of Suspect Bias?
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  • 批准号:
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