AD/ADRD Pilot Core
AD/ADRD 试点核心
基本信息
- 批准号:10907321
- 负责人:
- 金额:$ 24.9万
- 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焦点飞行员核心(核心F)项目摘要
阿尔茨海默氏病和阿尔茨海默氏病有关的痴呆症(AD/ADRD)的总体目标
飞行员核心(核心F)是促进用于预测分析的科学和工程的进步,临床
决策支持,或者是为了推进任务的成年人的照顾
支持飞行员项目的重点是注册技术和人工智能采取的态度
衰老已经到位,更具体地说,是应对广告/adrd的特定挑战的项目
诊断。
并集成了家庭监测技术与EHR的临床数据的集成,分析集成
使用自动化机器学习或将经过验证的AI模型纳入临床工作流程的数据
卫生系统,家庭或任何其他事实中的决策支持。
Graciela Gonzalez-Hernandez,信息学协会教授和高级学院
宾夕法尼亚大学的生物医学信息学(IBI)和健康语言处理主任
(HLP)研究所的中心。
冈萨雷斯·赫尔南德斯(Gonzalez-Hernandez
尊重研究和适用的软件苏化及其足够构造以及
她是NIH资助的数据库管理和生物统计学核心
阿尔茨海默氏病中心已有8年(2008年至2016年)
她是NLM科学顾问委员会的成员(截至2021年春
NIH Biodata管理与分析(BDMA)研究部分Sinced 2019。她以前是
NIH/NLM BLIRC研究部分(2009-2013)。
合作,核心F旨在提供全面,综合和持续的支持和促进
试点项目连接新技术,用于监测家庭中老化老龄化的成年人的老化衰老,并通过研究活动
和临床护理,专门旨在增加满足AD/ADRD患者的急性需求及其护理人员
以及广告/adrd的特定细微差别和进度。
诊所和返回,以解决尚未建立和扩展的广告/广告范围的许多挑战
该管道将是Oreot资助计划的核心。
目的:(1)征求,审查和支持开发或建议USI和技术的试点研究
AD/ADRD预测分析,临床决策支持或AD/ADRD成年人的护理,(2)促进
宾夕法尼亚州调查员,我们的同行机构和研究中心网络之间的合作
试点计划的研究人员以及(3)提供高质量的信息学,计算和产品设计以及
研究人员,试点项目申请人和合作者的发展支持,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
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- 批准号:
10681068 - 财政年份:2022
- 资助金额:
$ 24.9万 - 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:
$ 24.9万 - 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:
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