NLM Research Training Program in Biomedical Informatics and Data Science for Predoctoral and Postdoctoral Fellows
NLM Research Training Program in Biomedical Informatics and Data Science for Predoctoral and Postdoctoral Fellows
批准号:
10656288
负责人:
Lydia E. Kavraki
金额:
$65.98万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
1992
资助国家:
美国
项目状态:
未结题
起止时间:
1992-07-01 至 2027-06-30
关键词:
AffectApplied ResearchAppointmentAreaArtificial IntelligenceBasic ScienceBioinformaticsBody mass indexCareer MobilityClinicalClinical InformaticsClinical ResearchCognitiveCollaborationsCoupledDataData ScienceDecision MakingDiseaseEnsureEvaluationFacultyFosteringFoundationsFundingFutureGenerationsHealthHealthcareHumanInformaticsInstitutionKnowledgeKnowledge acquisitionMachine LearningMathematicsMentorsMethodologyModelingPatient CarePostdoctoral FellowProductivityPublic HealthReproducibilityResearchResearch Project GrantsResearch TrainingScientistSolidStatistical MethodsStudentsTeacher Professional DevelopmentTrainingTraining ProgramsUnderrepresented PopulationsUnited States National Library of MedicineWomanWorkbiomedical informaticscareercareer developmentclinical decision-makingexperienceexperimental studyinnovationinventionmeetingspersonalized medicinepre-doctoralprogramsrecruitresponsible research conductskill acquisitionstatisticstheoriestool
中文摘要
点击翻译按钮获取中文摘要
英文摘要
PROJECT SUMMARY/ABSTRACT
We seek renewal of our NLM Research Training Program in Biomedical Informatics and Data Science
(NLMTP), which for 29 years has consistently produced outstanding pre- and postdoctoral trainees as the
program has evolved along with Biomedical Informatics and Data Science (BMI and DS) themselves,
successfully bringing computation, data science, applied mathematics, statistics, biomedicine, modeling, data-
driven inference and decision-making, and advances in cognitive informatics, to bear on biomedical problems.
With this renewal, we will further expand our research training program to explore and exploit the dynamic
interaction of BMI and DS with artificial intelligence (AI), including machine learning, and their applications in
biomedicine and human health and disease. Our program will not only equip trainees with solid DS
methodology and the latest tools, computational approaches, and statistical methods to solve BMI problems,
but also provide broad foundations that will enable them to invent the methodologies of the future to attack
problems currently beyond our reach; this will produce a new generation of BMI scientists who can extract new
knowledge from experience and experiment to inform basic research, patient care and public health. We,
therefore, seek to train our students and postdocs to work effectively at the interface between theory and
practice, between knowledge acquisition and knowledge sharing. Our 46 training faculty, with broad expertise
in BMI, DS, and AI coupled with basic science and clinical knowledge, have a record of high research
productivity, extensive collaborations, and federal funding. Their track record of the recruitment, training, and
career advancement of underrepresented (UR) groups including women is strong, having mentored 264
predocs and 337 postdocs over the past 10 years, with 208 predocs (31% UR, 39% women) and 132 postdocs
(16% UR, 31% women) currently in their labs. Our 9 predoctoral trainees will have completed one year of study
and joined a lab at one of six participating institutions before joining the NLMTP (typically for 3-year
appointments), thus ensuring that their research projects fit well into the training areas of the NLM. Our 6
postdoctoral trainees will be selected through national recruiting and from the labs of our faculty, for typically
2-year appointments. NLMTP training will combine core courses in BMI and DS, advanced elective courses,
training in rigor and reproducibility and the responsible conduct of research, professional/career development
activities, monthly meetings with experts, and interdisciplinary dual-mentored research projects in health
care/clinical informatics, translational bioinformatics, and clinical research informatics. Our research training
program will undergo regular evaluations by external experts with adjustments made as needed. This program
will provide the perfect opportunity for trainees to acquire the skills, expertise and intellectual abilities to foster
innovative research and prepare them for applied research or related careers in which they can profoundly
affect such critical areas as personalized medicine, clinical decision making, and data-driven health.
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Prioritization of risk genes in multiple sclerosis by a refined Bayesian framework followed by tissue-specificity and cell type feature assessment.
通过完善的贝叶斯框架对多发性硬化症中的风险基因进行优先排序,然后进行组织特异性和细胞类型特征评估。
DOI:
10.1186/s12864-022-08580-y
发表时间:
2022-05-11
期刊:
BMC genomics
影响因子:
4.4
作者:
[]
通讯作者:
DOI:
10.1186/s12859-022-04797-6
发表时间:
2022-07-14
期刊:
BMC BIOINFORMATICS
影响因子:
3
作者:
[Amith, Muhammad Tuan, Cui, Licong, Zhi, Degui, Roberts, Kirk, Jiang, Xiaoqian, Li, Fang, Yu, Evan, Tao, Cui]
通讯作者:
Tao, Cui
DOI:
10.1016/j.ijid.2021.09.067
发表时间:
2021-12
期刊:
International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
影响因子:
--
作者:
[Nigo M, Rasmy L, May SB, Rao A, Karimaghaei S, Kannadath BS, De la Hoz A, Arias CA, Li L, Zhi D]
通讯作者:
Zhi D
DOI:
10.1016/j.jmb.2008.10.093
发表时间:
2009-01-30
期刊:
JOURNAL OF MOLECULAR BIOLOGY
影响因子:
5.6
作者:
[Wu, Yinghao, Dousis, Athanasios D., Chen, Mingzhi, Li, Jialin, Ma, Jianpeng]
通讯作者:
Ma, Jianpeng
Diversifying selective pressure on influenza B virus hemagglutinin.
对流感B病毒血凝素的选择性压力多样化。
DOI:
10.1002/jmv.21335
发表时间:
2009-01
期刊:
JOURNAL OF MEDICAL VIROLOGY
影响因子:
12.7
作者:
[Shen, Jun, Kirk, Brian D., Ma, Jianpeng, Wang, Qinghua]
通讯作者:
Wang, Qinghua
共 195 条
PROTEAN-CR: Proteomics Toolkit for Ensemble Analysis in Cancer Research
-
批准号:10188196
-
项目类别:
-
资助金额:$40.21万
-
财政年份:2021
-
负责人:Lydia E. Kavraki
-
依托单位:
PROTEAN-CR: Proteomics Toolkit for Ensemble Analysis in Cancer Research
-
批准号:10615697
-
项目类别:
-
资助金额:$38.36万
-
财政年份:2021
-
负责人:Lydia E. Kavraki
-
依托单位:
PROTEAN-CR: Proteomics Toolkit for Ensemble Analysis in Cancer Research
-
批准号:10398904
-
项目类别:
-
资助金额:$39.74万
-
财政年份:2021
-
负责人:Lydia E. Kavraki
-
依托单位:
NLM Training Program in Biomedical Informatics & Data Science for Predoctoral and Postdoctoral Fellows
-
批准号:9526234
-
项目类别:
-
资助金额:$9.8万
-
财政年份:2017
-
负责人:Lydia E. Kavraki
-
依托单位:
Structure-based selection of tumor-antigens for T-cell based immunotherapy
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批准号:9332344
-
项目类别:
-
资助金额:$20.24万
-
财政年份:2016
-
负责人:Lydia E. Kavraki
-
依托单位:
Structure-based selection of tumor-antigens for T-cell based immunotherapy
-
批准号:9186273
-
项目类别:
-
资助金额:$18.2万
-
财政年份:2016
-
负责人:Lydia E. Kavraki
-
依托单位:
DERIVING MOLECULAR MOTION FROM CRYOEM MAP
-
批准号:8361090
-
项目类别:
-
资助金额:$2.45万
-
财政年份:2011
-
负责人:Lydia E. Kavraki
-
依托单位:
DERIVING MOLECULAR MOTION FROM CRYOEM MAP
-
批准号:8168569
-
项目类别:
-
资助金额:$2.15万
-
财政年份:2010
-
负责人:Lydia E. Kavraki
-
依托单位:
COMPUTATIONAL ANALYSIS OF PROTEIN COMPLEX BINDING
-
批准号:8171877
-
项目类别:
-
资助金额:$0.11万
-
财政年份:2010
-
负责人:Lydia E. Kavraki
-
依托单位:
STRUCTURAL AND THERMODYNAMICAL PROPERTIES OF COMPLEXES FORMED BY THE HUMAN COMP
-
批准号:7956267
-
项目类别:
-
资助金额:$0.08万
-
财政年份:2009
-
负责人:Lydia E. Kavraki
-
依托单位:
COMPUTATIONAL ANALYSIS OF PROTEIN COMPLEX BINDING
-
批准号:7956338
-
项目类别:
-
资助金额:$0.08万
-
财政年份:2009
-
负责人:Lydia E. Kavraki
-
依托单位:
DERIVING MOLECULAR MOTION FROM CRYOEM MAP
-
批准号:7953802
-
项目类别:
-
资助金额:$1.74万
-
财政年份:2008
-
负责人:Lydia E. Kavraki
-
依托单位:
STRUCTURAL AND THERMODYNAMICAL PROPERTIES OF COMPLEXES FORMED BY THE HUMAN COMP
-
批准号:7723408
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项目类别:
-
资助金额:$0.05万
-
财政年份:2008
-
负责人:Lydia E. Kavraki
-
依托单位:
DERIVING MOLECULAR MOTION FROM CRYOEM MAP
-
批准号:7721176
-
项目类别:
-
资助金额:$1.62万
-
财政年份:2007
-
负责人:Lydia E. Kavraki
-
依托单位:
Dimensionality Reduction and Search for Analyzing Protein Structure
-
批准号:7619644
-
项目类别:
-
资助金额:$17.81万
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财政年份:2006
-
负责人:Lydia E. Kavraki
-
依托单位:
Dimensionality Reduction and Search for Analyzing Protein Structure
-
批准号:7232132
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项目类别:
-
资助金额:$17.81万
-
财政年份:2006
-
负责人:Lydia E. Kavraki
-
依托单位:
Dimensionality Reduction and Search for Analyzing Protein Structure
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批准号:7418295
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项目类别:
-
资助金额:$17.81万
-
财政年份:2006
-
负责人:Lydia E. Kavraki
-
依托单位:
Dimensionality Reduction and Search for Analyzing Protein Structure
-
批准号:7161839
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项目类别:
-
资助金额:$18.34万
-
财政年份:2006
-
负责人:Lydia E. Kavraki
-
依托单位:
NLM Training Program in Biomedical Informatics & Data Science for Predoctoral and Postdoctoral Fellows
-
批准号:9264362
-
项目类别:
-
资助金额:$58.37万
-
财政年份:1992
-
负责人:Lydia E. Kavraki
-
依托单位:
NLM Training Program in Biomedical Informatics for Predoc & Postdoctoral Fellows
-
批准号:8866467
-
项目类别:
-
资助金额:$75.08万
-
财政年份:1992
-
负责人:Lydia E. Kavraki
-
依托单位:
海外基金