San Diego Biomedical Informatics Education & Research (SABER)
San Diego Biomedical Informatics Education & Research (SABER)
批准号:
10616765
负责人:
SHAMIM NEMATI
金额:
$52.01万
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
未结题
起止时间:
2012-07-01 至 2027-06-30
关键词:
AcademiaAreaAwardBioinformaticsCaliforniaCellsClinical ResearchCognitive ScienceCultural BackgroundsDegree programEducationEducational BackgroundEducational CurriculumEducational process of instructingEnrollmentFacultyGrantHealthHealthcareIndustryInformaticsInstitutionJournalsMedical centerNonprofit OrganizationsPositioning AttributePostdoctoral FellowProductivityPublicationsQualifyingResearchResearch MethodologyResearch Project GrantsResearch TrainingScienceSystems BiologyTrainingTraining ProgramsTraining and EducationUnderrepresented MinorityUnited States National Library of MedicineUniversitiesVisionWomanbiomedical informaticscomputer scienceinformatics traininginnovationlearning strategymeetingspre-doctoralprofessorprogramssymposium
中文摘要
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英文摘要
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.
期刊论文(121)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1016/j.stemcr.2019.09.011
发表时间:
2019-11-12
期刊:
STEM CELL REPORTS
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.
DOI:
10.7554/elife.48476
发表时间:
2019-11-20
期刊:
ELIFE
影响因子:
7.7
作者:
[D'Antonio, Matteo, Reyna, Joaquin, Frazer, Kelly A.]
通讯作者:
Frazer, Kelly A.
Enhanced Metadata Design, Architecture, and Learning (MeDAL) for Development of Generalizable Deep Learning-based Predictive Analytics from Electronic Health Records
-
批准号:10610420
-
项目类别:
-
资助金额:$33.58万
-
财政年份:2022
-
负责人:SHAMIM NEMATI
-
依托单位:
Enhanced Metadata Design, Architecture, and Learning (MeDAL) for Development of Generalizable Deep Learning-based Predictive Analytics from Electronic Health Records
-
批准号:10420954
-
项目类别:
-
资助金额:$33.58万
-
财政年份:2022
-
负责人:SHAMIM NEMATI
-
依托单位:
GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors
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批准号:10277331
-
项目类别:
-
资助金额:$39.5万
-
财政年份:2021
-
负责人:SHAMIM NEMATI
-
依托单位:
GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors
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批准号:10439876
-
项目类别:
-
资助金额:$39.5万
-
财政年份:2021
-
负责人:SHAMIM NEMATI
-
依托单位:
GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors
-
批准号:10626899
-
项目类别:
-
资助金额:$39.5万
-
财政年份:2021
-
负责人:SHAMIM NEMATI
-
依托单位:
GeneRAlizable Sepsis Phenotyping (GRASP) using Electronic Health Records and Continuous Monitoring Sensors
-
批准号:10827775
-
项目类别:
-
资助金额:$7.15万
-
财政年份:2021
-
负责人:SHAMIM NEMATI
-
依托单位:
Enhanced Metadata Design, Architecture, and Learning (MeDAL) for Development of Generalizable Deep Learning-based Predictive Analytics from Electronic Health Records
-
批准号:10265157
-
项目类别:
-
资助金额:$39.4万
-
财政年份:2020
-
负责人:SHAMIM NEMATI
-
依托单位:
Deep Learning and Streaming Analytics for Prediction of Adverse Events in the ICU
-
批准号:9983413
-
项目类别:
-
资助金额:$19.02万
-
财政年份:2019
-
负责人:SHAMIM NEMATI
-
依托单位:
San Diego Biomedical Informatics Education & Research (SABER)
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批准号:10406030
-
项目类别:
-
资助金额:$44.64万
-
财政年份:2012
-
负责人:SHAMIM NEMATI
-
依托单位:
国内基金
海外基金
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
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批准号:2021JJ40433
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项目类别:省市级项目
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资助金额:--
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批准年份:2021
-
负责人:孙磊
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依托单位:
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
-
项目类别:青年科学基金项目
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资助金额:24.0万元
-
批准年份:2020
-
负责人:段真珍
-
依托单位:
AREA国际经济模型的移植.改进和应用
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批准号:18870435
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项目类别:面上项目
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资助金额:2.0万元
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批准年份:1988
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负责人:史树中
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依托单位: