AD/ADRD Pilot Core
AD/ADRD 试点核心
基本信息
- 批准号:10685544
- 负责人:
- 金额:$ 190.69万
- 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:2021-09-30 至 2026-05-31
- 项目状态:未结题
- 来源:
- 关键词:AcuteAddressAdoptionAdultAgingAlzheimer&aposs DiseaseAlzheimer&aposs disease related dementiaAreaArizonaArtificial IntelligenceBackBiostatistics CoreCaregiversCaringClinicClinicalClinical DataCollaborationsCommunitiesComputer softwareDatabase Management SystemsDevelopmentDiagnosisEducationEducational workshopEngineeringEquityEthicsExperimental DesignsFeedbackFosteringFundingGoalsHealthHealth Services AccessibilityHealth systemHomeIndustryInformaticsInstitutionJournalsLinkMachine LearningMentorsMethodologyMethodsMissionModelingMonitorNamesPatientsPennsylvaniaPilot ProjectsPoliciesPredictive AnalyticsPreparationProcessProductionPublicationsRequest for ProposalsResearchResearch ActivityResearch PersonnelScienceSeriesSiteStudentsStudy SectionSupervisionTechnologyTestingTrainingUnited States National Institutes of HealthUnited States National Library of MedicineUniversitiesValidationaging in placebiomedical informaticscareerclinical careclinical decision supportclinical research siteclinical translationcollaboratorycommunity organizationscooperative studydata integrationdesignhealthy aginghuman capitalinnovationinnovative technologieslanguage processingmembermid-career facultyneuroimagingnew technologynovelpeer networkspoint of careprogramsprovider networkssenior facultysoftware systemssuccesssymposiumsynergism
项目摘要
AD/ADRD Focus Pilot Core (Core F) Project Summary
The overarching goal of the Alzheimer's Disease and Alzheimer's Disease Related Dementias (AD/ADRD) Focus
Pilot Core (Core F) is to promote the advancement of science and engineering for predictive analytics, for clinical
decision support, or for the care of adults with AD/ADRD. To advance this mission, we will solicit, fund, and
support pilot projects focused on innovative technologies and AI approaches for several important aspects of
aging in place, and, more specifically, projects that respond to the specific challenges of those with an AD/ADRD
diagnosis. To name a few, we will fund pilots focused on developing AI methods and software for the processing
and integration of data from home monitoring technology with clinical data from EHRs, on analysis of integrated
data using automated machine learning, or on incorporating validated AI models into clinical workflows for
decision support within a health system, in the home, or any other point of care. The core will be led by Dr.
Graciela Gonzalez-Hernandez, Associate Professor of Informatics and Senior Faculty of the Institute of
Biomedical Informatics (IBI) at the University of Pennsylvania, and Director of the Health Language Processing
(HLP) Center within the institute. With over 100 publications in prestigious journals and conferences, Dr
Gonzalez-Hernandez’s 19 years of academic career plus 5 more in industry bring a unique perspective with
respect to the integration of research and applicable software systems, and their adequate construction and
distribution. She was Director of the Database Management and Biostatistics Core for the NIH-funded Arizona
Alzheimer’s Disease Center for 8 years (2008 to 2016), where she helped organize the annual selection of Pilot
Projects. She is a member of the NLM Board of Scientific Advisors (effective as of the Spring of 2021) and of the
NIH Biodata Management and Analysis (BDMA) study section since 2019. She was previously a member of the
NIH/NLM BLIRC study section (2009-2013). Overall, in line with the overarching theme of the PennAITech
Collaborative, Core F seeks to provide comprehensive, integrated, and continuous support and promotion of
Pilot projects that connect novel technologies for monitoring aging adults in the home with research activities
and clinical care, specifically aimed at addressing the acute needs of the AD/ADRD patients and their caregivers
and the specific nuances and progression of AD/ADRD. To our knowledge, a comprehensive pipeline from home
to clinic and back that addresses the many challenges of AD/ADRD does not yet exist. Building and extending
this pipeline will be central to our pilot funding program. The AD/ADRD Pilot Core has the following Specific
Aims: (1) to solicit, review, and support pilot studies that develop or advance the use of AI and technology for
AD/ADRD predictive analytics, clinical decision support, or the care of adults with AD/ADRD, (2) to foster
collaborations among affiliated Penn investigators, our network of peer institutions and research centers, and
pilot program researchers, and (3) to provide high quality informatics, computational, and product design and
development support, education, and training for researchers, pilot project applicants, and collaborators.
AD/ADRD Focus试验核心(核心F)项目摘要
阿尔茨海默病和阿尔茨海默病相关痴呆(AD/ADRD)焦点的总体目标
Pilot核心(核心F)是为了促进预测分析、临床分析的科学和工程的进步
决策支持,或为患有AD/ADRD的成年人提供护理。为了推进这一使命,我们将征集、资助和
支持以创新技术和人工智能方法为几个重要方面的试点项目
老龄化到位,更具体地说,应对AD/ADRD患者的具体挑战的项目
诊断。举几个例子,我们将资助专注于开发人工智能方法和处理软件的试点
和来自家庭监测技术的数据与来自EHR的临床数据的集成,对集成的分析
使用自动机器学习的数据,或将经过验证的AI模型整合到临床工作流中
在卫生系统、家庭或任何其他看护点提供决策支持。核心将由Dr。
Graciela Gonzalez-Hernandez,信息学副教授兼高级学院
宾夕法尼亚大学生物医学信息学(IBI),卫生语言处理主任
(HLP)研究所内的中心。在著名的期刊和会议上发表了100多篇论文。
冈萨雷斯-埃尔南德斯19年的学术生涯加上5年的工业生涯带来了独特的视角
关于研究和应用软件系统的整合及其适当的建设和
分发。她是美国国立卫生研究院资助的亚利桑那州数据库管理和生物统计核心的主任
在阿尔茨海默病中心工作了8年(2008至2016年),在那里她帮助组织了年度飞行员选拔
项目。她是美国国家航空航天局科学顾问委员会的成员(自2021年春季起生效)和
自2019年以来,NIH生物数据管理和分析(BDMA)研究部分。她之前是
NIH/NLM BLIRC研究部分(2009-2013)。总体而言,与PennAITech的总体主题一致
协作性、核心F寻求提供全面、集成和持续的支持和促进
将监测家中老年人的新技术与研究活动相结合的试点项目
和临床护理,专门针对AD/ADRD患者及其照顾者的紧急需求
以及AD/ADRD的具体细微差别和进展。据我们所知,一条全面的国内管道
这解决了AD/ADRD的许多挑战,目前还不存在。建筑和扩建
这条管道将是我们试点资金计划的核心。AD/ADRD Pilot Core具有以下特定功能
目标:(1)征集、审查和支持开发或促进使用人工智能和技术的试点研究
AD/ADRD预测分析、临床决策支持或成人AD/ADRD护理,(2)促进
宾夕法尼亚大学附属调查人员、我们的同行机构和研究中心网络之间的合作,以及
试点计划研究人员,以及(3)提供高质量的信息学、计算和产品设计和
为研究人员、试点项目申请者和合作者提供开发支持、教育和培训。
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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GRACIELA GONZALEZ HERNANDEZ其他文献
GRACIELA GONZALEZ HERNANDEZ的其他文献
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{{ truncateString('GRACIELA GONZALEZ HERNANDEZ', 18)}}的其他基金
Enriching SARS-CoV-2 sequence data in public repositories with information extracted from full text articles
利用从全文文章中提取的信息丰富公共存储库中的 SARS-CoV-2 序列数据
- 批准号:
10681068 - 财政年份:2022
- 资助金额:
$ 190.69万 - 项目类别:
Enriching SARS-CoV-2 sequence data in public repositories with information extracted from full text articles
利用从全文文章中提取的信息丰富公共存储库中的 SARS-CoV-2 序列数据
- 批准号:
10701081 - 财政年份:2021
- 资助金额:
$ 190.69万 - 项目类别:
Enriching SARS-CoV-2 sequence data in public repositories with information extracted from full text articles
利用从全文文章中提取的信息丰富公共存储库中的 SARS-CoV-2 序列数据
- 批准号:
10390667 - 财政年份:2021
- 资助金额:
$ 190.69万 - 项目类别:
Tracking Evolution and Spread of Viral Genomes by Geospatial Observation Error
通过地理空间观测误差追踪病毒基因组的进化和传播
- 批准号:
9249484 - 财政年份:2016
- 资助金额:
$ 190.69万 - 项目类别:
Text Processing and Geospatial Uncertainty for Phylogeography of Zoonotic Viruses
人畜共患病毒系统发育地理学的文本处理和地理空间不确定性
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8698542 - 财政年份:2013
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8222740 - 财政年份:2012
- 资助金额:
$ 190.69万 - 项目类别:
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