Computational Omics and Biomedical Informatics Program (COBIP)
计算组学和生物医学信息学计划(COBIP)
基本信息
- 批准号:10490403
- 负责人:
- 金额:$ 34.48万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-22 至 2026-07-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAfricaAfricanApplied ResearchArtificial IntelligenceAwarenessBiotechnologyClinical InformaticsClinical ResearchCoupledData ScienceData ScientistDegree programDevelopmentDiagnosticEngineeringFacultyFosteringFutureGraduate DegreeHealthHealth PrioritiesHealth SciencesHealthcareHumanIndustryInformaticsInfrastructureInstitutionInternshipsLinkMathematicsMiningMultiomic DataOregonResearchResearch PersonnelResearch TrainingScienceSouth AfricaStudentsTeacher Professional DevelopmentTechnologyTherapeuticTrainingTraining ProgramsTranslational ResearchUniversitiesbig biomedical databiomedical data sciencebiomedical imagingbiomedical informaticsburden of illnesscareerclinical imagingcohortcomputer sciencedrug developmentethical legal social implicationglobal healthimprovedinnovationinternational centernovel strategiesprogramsskillsstatisticstraining opportunity
项目摘要
PROJECT SUMMARY
Despite the significant human health and disease burden in Africa, no biomedical data science graduate degree
programmes in computational omics, clinical informatics and translational research are offered on the continent.
To foster research training that will cultivate graduates able to respond with agility to future biomedical data
science needs and develop innovative solutions to address African health challenges, formal interdisciplinary
training in biomedical data science is needed. Such training opportunities should include: (i) Biomedical data
science applied to data from multi-omics and other technologies, such as biomedical imaging, coupled with the
ethical, legal and social Implications of these advances; (ii) Fundamental and advanced concepts in machine
intelligence and computational paradigms for developing novel approaches for mining large-scale biomedical
data; and (iii) Awareness, amongst graduates, of career opportunities within biomedical data science along with
how the soft and hard skills gained in the training program could be transferred into a range of
biotechnology/biomedical industries and research/professional careers.
Motivated by these needs and leveraging the expertise in clinical and translational research as well as biomedical
informatics at Oregon Health & Science University (OHSU), we propose to develop the “Computational Omics
and Biomedical Informatics Program” (COBIP) at the University of Cape Town, South Africa. The program will
introduce graduate degree programs to train African biomedical data scientists and faculty in rigorous
fundamental data science, computational omics, clinical informatics and imaging data science. COBIP will lead
to the development of solutions that address the African disease burden and are relevant to global health.
Specifically, we aim to: 1) Develop an interdisciplinary data science training program focused on the health and
healthcare needs and priorities of Africa; 2) Train faculty with relevant disciplinary backgrounds, from
collaborating African institutions, in biomedical data science to support the development of the field across the
continent; and 3) Establish COBIP as an international center of excellence in computational omics and
biomedical informatics, distributed across African institutions as a collaborative network of faculty, researchers,
and students focused on the African health priorities.
COBIP will attract cohorts of trainees from diverse backgrounds including mathematics, statistics, informatics,
computer sciences, engineering and biomedical sciences. COBIP will provide innovative educational
infrastructure and research opportunities as well as links between clinicians, researchers and biomedical
industries through placements and internships. COBIP, through its graduates, will have decisive impacts on
African biomedical data science research and stimulate diagnostics, therapeutic selection and drug development
to support improved human health and healthcare in Africa and globally.
项目总结
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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WILLIAM R HERSH其他文献
WILLIAM R HERSH的其他文献
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{{ truncateString('WILLIAM R HERSH', 18)}}的其他基金
Attracting Talented and Diverse Students to Biomedical Informatics and Data Science Careers Through Short-Term Study at OHSU
通过在 OHSU 的短期学习吸引才华横溢、多元化的学生从事生物医学信息学和数据科学职业
- 批准号:
10630618 - 财政年份:2022
- 资助金额:
$ 34.48万 - 项目类别:
Attracting Talented and Diverse Students to Biomedical Informatics and Data Science Careers Through Short-Term Study at OHSU
通过在 OHSU 的短期学习吸引才华横溢、多元化的学生从事生物医学信息学和数据科学职业
- 批准号:
10701083 - 财政年份:2022
- 资助金额:
$ 34.48万 - 项目类别:
Computational Omics and Biomedical Informatics Program (COBIP)
计算组学和生物医学信息学计划(COBIP)
- 批准号:
10319196 - 财政年份:2021
- 资助金额:
$ 34.48万 - 项目类别:
Computational Omics and Biomedical Informatics Program (COBIP)
计算组学和生物医学信息学计划(COBIP)
- 批准号:
10676322 - 财政年份:2021
- 资助金额:
$ 34.48万 - 项目类别:
Research Training in Biomedical Informatics and Data Science at Oregon Health & Science University
俄勒冈健康中心生物医学信息学和数据科学研究培训
- 批准号:
9524502 - 财政年份:2017
- 资助金额:
$ 34.48万 - 项目类别:
Biomedical Informatics Research Training at Oregon Health & Science University
俄勒冈健康中心的生物医学信息学研究培训
- 批准号:
9369268 - 财政年份:2016
- 资助金额:
$ 34.48万 - 项目类别:
Semi-structured Information Retrieval in Clinical Text for Cohort Identification
用于队列识别的临床文本中的半结构化信息检索
- 批准号:
10450805 - 财政年份:2014
- 资助金额:
$ 34.48万 - 项目类别:
Semi-structured Information Retrieval in Clinical Text for Cohort Identification
用于队列识别的临床文本中的半结构化信息检索
- 批准号:
10207950 - 财政年份:2014
- 资助金额:
$ 34.48万 - 项目类别:
Semi-structured Information Retrieval in Clinical Text for Cohort Identification
用于队列识别的临床文本中的半结构化信息检索
- 批准号:
10879792 - 财政年份:2014
- 资助金额:
$ 34.48万 - 项目类别:
OHSU Summer Internship in Biomedical Informatics for College Undergraduates
OHSU 大学本科生生物医学信息学暑期实习
- 批准号:
8281433 - 财政年份:2011
- 资助金额:
$ 34.48万 - 项目类别:
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