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中文摘要
翻译
匹兹堡大学提议将其生物医学信息学(BMI)培训续期五年 程序。T15赠款目前正进入连续第30年。我们的节目以长时间和 匹兹堡生物医学信息学研究的杰出历史,不断的进化和完善 在我们的教育项目中,对生物医学信息学和我们的培训的坚定的机构承诺 计划,以及丰富的生物医学和计算研究环境,我们的培训计划就是在这个环境中设定的。 该计划在生物医学信息学系(DBMI)设有行政总部 匹兹堡大学医学院。DBMI为培训提供场地、设备和资金支持 项目管理、教师、研究生和博士后学者。该计划由一个 跨部门核心教职员工36人,包括所有17名初级 DBMI中的约会。培训项目主任,一个由教职员工联合主任组成的紧密联系的领导小组, 两名经验丰富的工作人员支持该计划的整体运作。 匹兹堡BMI培训计划提供生物医学所有四个子学科的研究培训 信息学:医疗保健/临床信息学、翻译生物信息学、临床研究信息学和公共信息学 健康信息学。此外,通过此次竞争性续订,我们将在 环境暴露信息学。参加我们T15资助培训项目的学员可以攻读硕士或博士学位 生物医学信息学,智能系统硕士或博士学位-生物医学信息学方向,医学博士学位 通过医学科学家培训计划,或高级博士后研究。 在过去的资助期内,培训方案得到了重大改进,包括 迁移到新的连续空间、新的招生和招聘流程、新的课程和其他新的 努力招聘见习候选人,包括来自代表性不足的少数群体和弱势群体的候选人 背景。拟议资助期的改进措施包括新课程、新专业人员 发展机会,以及加强研究可再现性培训。一个主要的重点将是扩大 关于我们已经制定好的数据科学研究计划,以加强T15资助的培训 实习生。 我们在培训所有分领域的生物医学信息学研究人员方面有着良好的成功记录 纪律。我们项目的实习生在该领域的高影响力期刊上发表研究论文, 为他们的研究赢得国家奖项,撰写成功的K奖章和个人奖学金,以及 毕业后在学术界、工业界和政府部门获得研究职位。
英文摘要
The University of Pittsburgh proposes a five-year renewal of its Biomedical Informatics (BMI) Training Program. The T15 grant is currently entering its 30th consecutive year. Our program is notable for the long and distinguished history of biomedical informatics research in Pittsburgh, the continuous evolution and refinement of our educational programs, the strong institutional commitment to biomedical informatics and our training program, and the rich biomedical and computational research environment in which our training program is set. The program has an administrative home in the Department of Biomedical Informatics (DBMI) within the University of Pittsburgh School of Medicine. DBMI provides space, equipment, and financial support for training program administration, faculty, graduate students and postdoctoral scholars. The program is supported by an interdepartmental core faculty of 36 faculty members, including all 17 faculty members with primary appointments in DBMI. The Training Program Director, a tightly knit leadership group of faculty co-directors, and two experienced staff members support the overall operation of the program. The Pittsburgh BMI Training Program offers research training in all four sub-disciplines of Biomedical Informatics: healthcare/clinical informatics, translational bioinformatics, clinical research informatics, and public health informatics. Additionally, with this competitive renewal, we are proposing a new program in environmental exposures informatics. Trainees in our T15-funded training programs may pursue an MS or PhD in Biomedical Informatics, an MS or PhD in Intelligent Systems – Biomedical Informatics Track, an MD/PhD through the Medical Scientist Training Program, or advanced postdoctoral research. The training program has undergone significant enhancements during the past funding period including a move to new contiguous space, a new admissions and recruitment process, new courses, and additional new efforts to recruit trainee candidates, including candidates from under-represented minorities and disadvantaged backgrounds. Enhancements for the proposed funding period include new courses, new professional development opportunities, and enhanced training in research reproducibility. A major focus will be to expand on our already well developed research programs in data science to enhance the training of T15 funded trainees. We have a strong track record of success in training biomedical informatics researchers in all sub- disciplines. Trainees from our program are publishing research articles in high impact journals in the field, winning national awards for their research, writing successful K grants and individual fellowship awards, and securing research positions in academics, industry and government upon graduation.
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Cancer Deep Phenotyping from Electronic Medical Records
  • 批准号:
    10594128
  • 项目类别:
  • 资助金额:
    $18.86万
  • 财政年份:
    2022
  • 负责人:
    HARRY S HOCHHEISER
  • 依托单位:
Cancer Deep Phenotype Extraction from Electronic Medical Records
  • 批准号:
    10058470
  • 项目类别:
  • 资助金额:
    $92.47万
  • 财政年份:
    2020
  • 负责人:
    HARRY S HOCHHEISER
  • 依托单位:
Cancer Deep Phenotype Extraction from Electronic Medical Records
  • 批准号:
    10268998
  • 项目类别:
  • 资助金额:
    $85.92万
  • 财政年份:
    2020
  • 负责人:
    HARRY S HOCHHEISER
  • 依托单位:
Cancer Deep Phenotype Extraction from Electronic Medical Records
  • 批准号:
    10472741
  • 项目类别:
  • 资助金额:
    $83.88万
  • 财政年份:
    2020
  • 负责人:
    HARRY S HOCHHEISER
  • 依托单位:
海外基金