Medical Imaging Informatics Training Grant

医学影像信息学培训补助金

基本信息

  • 批准号:
    8473573
  • 负责人:
  • 金额:
    $ 17.48万
  • 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
  • 起止时间:
    2013-09-01 至 2018-08-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): This new broad-based T32 proposal is focused on supporting graduate students pursuing imaging informatics research at UCLA. With the now ubiquitous usage of imaging as an in vivo method for objectively documenting and elucidating disease and the human condition, novel research challenges arise in the acquisition, the un- distending, and the usage of imaging and related (clinical) data to realize new knowledge and improved health outcomes. Led by the UCLA Medical Imaging Informatics (MII) group, this training program will support doctoral students from a variety of departments, including Bioengineering, Electrical Engineering, Computer Science, and Information Studies. Students in Bioengineering specializing in medical imaging informatics fol- low a PhD program major structured around a 1-year core curriculum that provides a foundational basis in dif- ferment aspects of imaging informatics, covering information infrastructures/systems and clinical data standards; medical decision-making; medical knowledge representation and modeling; information retrieval; and the un- derlying principles of medical image acquisition, standardization, and content understanding. Students are ex- posed to the full spectrum of imaging informatics research; its applications; and its growing relation to other sub-disciplines, including bioinformatics and public health. Subsequently, predoctoral students further special- size in different areas through additional elective courses that provide advanced training in support of a disserta- tion area. Students from electrical engineering, computer science, and information studies participate in this training program through the completion of a minor, including coursework from the same 1-year core curricu- lum, and dissertation research addressing an imaging informatics area. Trainees are immediately engaged in imaging informatics research, with a wide range of opportunities to work with faculty on ongoing research pro- jects. Building from an existent imaging informatics program, this proposal further includes: 1) the formalization of a practicum for 1st year bioengineering graduates students during the summer, in coordination with the Vet- erans Administration and the Los Angeles County Health Department; 2) the development of a public health minor; and 3) the creation of new elective courses in the areas of clinical and imaging informatics. Faculty supporting this training program represents an interdisciplinary group of researchers from across the UCLA campus, including the Schools of Engineering & Applied Sciences; Medicine; Public Health; and Gradu- ate Education & Information Studies. Many of the faculty is nationally recognized leaders in their disciplines; collectively, these individuals provide a comprehensive and complementary set of (funded) research areas and skills that enrich the training experience.
描述(由申请人提供):这个新的基础广泛的T32提案的重点是支持研究生在加州大学洛杉矶分校从事成像信息学研究。随着现在普遍使用成像作为用于客观地记录和阐明疾病和人类状况的体内方法,在成像和相关(临床)数据的获取、非扩张和使用中出现了新的研究挑战,以实现新的知识和改善的健康结果。由加州大学洛杉矶分校医学成像信息学(MII)小组领导,该培训计划将支持来自各个部门的博士生,包括生物工程,电气工程,计算机科学和信息研究。生物工程专业医学成像信息学的学生遵循博士课程主要围绕1年的核心课程结构,提供成像信息学的不同方面的基础,包括信息基础设施/系统和临床数据标准;医疗决策;医学知识表示和建模;信息检索;以及医学图像采集、标准化和内容理解的基本原则。学生将接触到成像信息学研究的全方位;其应用;以及其与其他子学科的日益增长的关系,包括生物信息学和公共卫生。随后,博士前学生通过额外的选修课程进一步在不同领域的特殊规模,这些课程提供了支持论文领域的高级培训。来自电气工程,计算机科学和信息研究的学生通过完成未成年人参加该培训计划,包括来自同一个1年核心课程的课程,以及解决成像信息学领域的论文研究。学员将立即从事成像信息学研究,有广泛的机会与教师合作进行正在进行的研究。从现有的成像信息学计划的建设,该提案还包括:1)在夏季期间,与兽医管理局和洛杉矶县卫生局协调,正式确定一年级生物工程研究生的实习; 2)开发公共卫生未成年人;和3)在临床和成像信息学领域创建新的选修课程。支持这一培训计划的教师代表了来自加州大学洛杉矶分校校园的跨学科研究人员,包括工程与应用科学学院;医学;公共卫生;和研究生教育与信息研究。许多教师是国家认可的领导者在他们的学科;集体,这些人提供了一套全面和互补的(资助)研究领域和技能,丰富了培训经验。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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ALEX BUI其他文献

ALEX BUI的其他文献

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{{ truncateString('ALEX BUI', 18)}}的其他基金

Building BRIDGEs: Coordinating Standards, Diversity, and Ethics to Advance Biomedical AI
搭建桥梁:协调标准、多样性和道德以推进生物医学人工智能
  • 批准号:
    10801686
  • 财政年份:
    2023
  • 资助金额:
    $ 17.48万
  • 项目类别:
Building BRIDGEs: Coordinating Standards, Diversity, and Ethics to Advance Biomedical AI
搭建桥梁:协调标准、多样性和道德以推进生物医学人工智能
  • 批准号:
    10655487
  • 财政年份:
    2022
  • 资助金额:
    $ 17.48万
  • 项目类别:
Building BRIDGEs: Coordinating Standards, Diversity, and Ethics to Advance Biomedical AI
搭建桥梁:协调标准、多样性和道德以推进生物医学人工智能
  • 批准号:
    10473397
  • 财政年份:
    2022
  • 资助金额:
    $ 17.48万
  • 项目类别:
Predicting who will fracture: Exploration of machine learning in the observational Women's Health Initiative Study dataset.
预测谁会骨折:观察性妇女健康倡议研究数据集中机器学习的探索。
  • 批准号:
    10707881
  • 财政年份:
    2022
  • 资助金额:
    $ 17.48万
  • 项目类别:
Biomedical Data Science Training Program for Precision Health Equity
精准健康公平生物医学数据科学培训计划
  • 批准号:
    10615779
  • 财政年份:
    2022
  • 资助金额:
    $ 17.48万
  • 项目类别:
Predicting who will fracture: Exploration of machine learning in the observational Women's Health Initiative Study dataset.
预测谁会骨折:观察性妇女健康倡议研究数据集中机器学习的探索。
  • 批准号:
    10370048
  • 财政年份:
    2022
  • 资助金额:
    $ 17.48万
  • 项目类别:
Biomedical Data Science Training Program for Precision Health Equity
精准健康公平生物医学数据科学培训计划
  • 批准号:
    10406058
  • 财政年份:
    2022
  • 资助金额:
    $ 17.48万
  • 项目类别:
Network Core
网络核心
  • 批准号:
    10285908
  • 财政年份:
    2021
  • 资助金额:
    $ 17.48万
  • 项目类别:
Network Core
网络核心
  • 批准号:
    10657821
  • 财政年份:
    2021
  • 资助金额:
    $ 17.48万
  • 项目类别:
Prediction of Chronic Kidney Disease by Simulation Modeling to Improve the Health of Minority Populations
通过模拟模型预测慢性肾脏病以改善少数民族人群的健康
  • 批准号:
    10523518
  • 财政年份:
    2020
  • 资助金额:
    $ 17.48万
  • 项目类别:

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  • 批准号:
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