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:10406030
- 负责人:
- 金额:$ 44.64万
- 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
- 来源:
- 关键词:AcademiaAreaAwardBioinformaticsCaliforniaCellsClinical ResearchCognitive ScienceCultural BackgroundsDegree programEducational BackgroundEducational CurriculumEnrollmentFacultyFoundationsGrantHealthHealthcareIndustryInformaticsInstitutionJournalsMedical centerNonprofit OrganizationsPositioning AttributePostdoctoral FellowProductivityPublicationsResearchResearch MethodologyResearch Project GrantsResearch TrainingScienceSystems BiologyTrainingTraining ProgramsTraining and EducationUnderrepresented MinorityUnited States National Library of MedicineUniversitiesVisionWomanbiomedical informaticscomputer scienceeducation researchinformatics traininginnovationlearning strategymeetingspre-doctoralprofessorprogramssymposium
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
圣地亚哥生物医学信息学教育与研究(SABER)培训项目被授予NLM
培训补助金于2012年夏季发放,并于2017年续签。在这份续订建议书中,我们描述了我们的
过去8.75年的成就和我们对未来五年的展望。军刀训练计划
包括加州大学圣地亚哥分校(UCSD)生物医学系的核心教员
信息学,以及整个加州大学圣地亚哥分校的多个教职员工。自2012年该项目开始以来,我们已经主办了78
长期和短期实习生。
我们的博士前实习生注册了竞争激烈的生物信息学和系统生物学(BISB)博士项目,
计算机科学、认知科学或生物医学科学。受训人员完成基础课程
生物医学信息学(BMI),由我们的核心教员教授,以及他们各自学位的核心课程
程序。我们所有的实习生都达到了他们的学术里程碑,11人已经毕业。我们的帖子-
博士生注册硕士课程(计算机科学或高级科学),除了
完成我们的BMI基础课程。这些受训人员被嵌入到医疗中心的项目中
帮助他们将通过课程学习到的研究方法与背景联系起来。我们所有的短期实习生都是
在科学界代表不足的少数群体,并参与各种研究项目,导致演讲和
出版物。大多数完成我们BMI培训的学员都在工业界和学术界担任研究职位-
一些人继续接受培训,两人受雇于非营利性组织,还有几人成为助理
不同机构(卡内基梅隆大学、加州大学洛杉矶分校、加州大学旧金山分校、加州大学圣地亚哥分校、范德比尔特大学等)的教授。
过去五年我们培训的一些亮点是我们的学员工作效率很高,他们是
在广泛的信息学专业领域进行创新研究,从翻译到
从生物信息学到临床研究信息学再到医疗信息学。此外,女性比例
(57%)和代表不足的少数族裔(49%)在我们的整体受训人员中占很高的比例。我们所有的空位都填满了
每年都有来自不同教育和文化背景的高素质候选人,他们已经
在影响较大的期刊(如《细胞》、《科学》、《Jamia》、《美国国家科学院院刊》)和会议上发表第一作者论文。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
SHAMIM NEMATI其他文献
SHAMIM NEMATI的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ 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:
$ 44.64万 - 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:
$ 44.64万 - 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:
$ 44.64万 - 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:
$ 44.64万 - 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:
$ 44.64万 - 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:
$ 44.64万 - 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:
$ 44.64万 - 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:
$ 44.64万 - 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:
10616765 - 财政年份:2012
- 资助金额:
$ 44.64万 - 项目类别:
相似国自然基金
层出镰刀菌氮代谢调控因子AreA 介导伏马菌素 FB1 生物合成的作用机理
- 批准号:2021JJ40433
- 批准年份:2021
- 资助金额:0.0 万元
- 项目类别:省市级项目
寄主诱导梢腐病菌AreA和CYP51基因沉默增强甘蔗抗病性机制解析
- 批准号:32001603
- 批准年份:2020
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
AREA国际经济模型的移植.改进和应用
- 批准号:18870435
- 批准年份:1988
- 资助金额:2.0 万元
- 项目类别:面上项目
相似海外基金
Onboarding Rural Area Mathematics and Physical Science Scholars
农村地区数学和物理科学学者的入职
- 批准号:
2322614 - 财政年份:2024
- 资助金额:
$ 44.64万 - 项目类别:
Standard Grant
Point-scanning confocal with area detector
点扫描共焦与区域检测器
- 批准号:
534092360 - 财政年份:2024
- 资助金额:
$ 44.64万 - 项目类别:
Major Research Instrumentation
TRACK-UK: Synthesized Census and Small Area Statistics for Transport and Energy
TRACK-UK:交通和能源综合人口普查和小区域统计
- 批准号:
ES/Z50290X/1 - 财政年份:2024
- 资助金额:
$ 44.64万 - 项目类别:
Research Grant
Wide-area low-cost sustainable ocean temperature and velocity structure extraction using distributed fibre optic sensing within legacy seafloor cables
使用传统海底电缆中的分布式光纤传感进行广域低成本可持续海洋温度和速度结构提取
- 批准号:
NE/Y003365/1 - 财政年份:2024
- 资助金额:
$ 44.64万 - 项目类别:
Research Grant
Collaborative Research: Scalable Manufacturing of Large-Area Thin Films of Metal-Organic Frameworks for Separations Applications
合作研究:用于分离应用的大面积金属有机框架薄膜的可扩展制造
- 批准号:
2326714 - 财政年份:2024
- 资助金额:
$ 44.64万 - 项目类别:
Standard Grant
Collaborative Research: Scalable Manufacturing of Large-Area Thin Films of Metal-Organic Frameworks for Separations Applications
合作研究:用于分离应用的大面积金属有机框架薄膜的可扩展制造
- 批准号:
2326713 - 财政年份:2024
- 资助金额:
$ 44.64万 - 项目类别:
Standard Grant
Unlicensed Low-Power Wide Area Networks for Location-based Services
用于基于位置的服务的免许可低功耗广域网
- 批准号:
24K20765 - 财政年份:2024
- 资助金额:
$ 44.64万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
RAPID: Collaborative Research: Multifaceted Data Collection on the Aftermath of the March 26, 2024 Francis Scott Key Bridge Collapse in the DC-Maryland-Virginia Area
RAPID:协作研究:2024 年 3 月 26 日 DC-马里兰-弗吉尼亚地区 Francis Scott Key 大桥倒塌事故后果的多方面数据收集
- 批准号:
2427233 - 财政年份:2024
- 资助金额:
$ 44.64万 - 项目类别:
Standard Grant
Postdoctoral Fellowship: OPP-PRF: Tracking Long-Term Changes in Lake Area across the Arctic
博士后奖学金:OPP-PRF:追踪北极地区湖泊面积的长期变化
- 批准号:
2317873 - 财政年份:2024
- 资助金额:
$ 44.64万 - 项目类别:
Standard Grant
RAPID: Collaborative Research: Multifaceted Data Collection on the Aftermath of the March 26, 2024 Francis Scott Key Bridge Collapse in the DC-Maryland-Virginia Area
RAPID:协作研究:2024 年 3 月 26 日 DC-马里兰-弗吉尼亚地区 Francis Scott Key 大桥倒塌事故后果的多方面数据收集
- 批准号:
2427232 - 财政年份:2024
- 资助金额:
$ 44.64万 - 项目类别:
Standard Grant














{{item.name}}会员




