AD/ADRD Pilot Core
AD/ADRD 试点核心
基本信息
- 批准号:10274453
- 负责人:
- 金额:$ 191.25万
- 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 softwareDataDatabase Management SystemsDevelopmentDiagnosisEducational workshopEngineeringEnsureEthicsExperimental DesignsFeedbackFosteringFundingGoalsHealthHealth Services AccessibilityHealth systemHomeIndustryInformaticsInstitutesInstitutionJournalsLinkMachine LearningMentorsMethodologyMethodsMissionModelingMonitorNamesPatientsPennsylvaniaPilot ProjectsPoliciesPredictive AnalyticsPreparationProcessProductionPublicationsRequest for ProposalsResearchResearch ActivityResearch PersonnelScienceSeriesSiteStudentsStudy SectionSupervisionTechnologyTestingTrainingTraining and EducationUnited States National Institutes of HealthUniversitiesValidationaging in placebiomedical informaticscareerclinical careclinical decision supportclinical research siteclinical translationcollaboratorycommunity organizationscooperative studydata integrationdesignhealthy aginghuman capitalinnovationinnovative technologieslanguage processingmembermid-career facultyneuroimagingnew technologynovelpeer networkspoint of careprogramsprovider networkssenior facultysoftware systemssuccesssymposium
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 重点试点核心(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) 重点的总体目标
Pilot Core(Core F)旨在促进预测分析、临床和临床科学和工程的进步
决策支持,或照顾患有 AD/ADRD 的成年人。为了推进这一使命,我们将征求、资助和支持。
支持专注于创新技术和人工智能方法几个重要方面的试点项目
就地老龄化,更具体地说,是应对 AD/ADRD 患者的具体挑战的项目
仅举几例,我们将资助专注于开发人工智能方法和处理软件的试点。
以及将家庭监测技术的数据与 EHR 的临床数据进行整合,分析综合数据
使用自动化机器学习的数据,或将经过验证的人工智能模型纳入临床工作流程
卫生系统、家庭或任何其他护理点的决策支持核心将由 Dr. 领导。
Graciela Gonzalez-Hernandez,信息学副教授兼研究所高级教师
宾夕法尼亚大学生物医学信息学 (IBI) 和健康语言处理主任
(HLP) 研究所内的中心,博士在著名期刊和会议上发表了 100 多篇论文。
Gonzalez-Hernandez 拥有 19 年的学术生涯和 5 年的工业生涯,带来了独特的视角
尊重研究和应用软件系统的集成及其充分的构建和
她是 NIH 资助的亚利桑那州数据库管理和生物统计核心主任。
在阿尔茨海默病中心工作了 8 年(2008 年至 2016 年),她帮助组织了年度飞行员选拔
她是 NLM 科学顾问委员会的成员(自 2021 年春季起生效)和
自 2019 年起担任 NIH 生物数据管理和分析 (BDMA) 研究部门。她之前是
NIH/NLM BLIRC 研究部分(2009-2013)总体而言,符合 PennAITech 的总体主题。
协作,Core F 寻求提供全面、综合、持续的支持和促进
将监测家庭老年人的新技术与研究活动联系起来的试点项目
和临床护理,特别旨在解决 AD/ADRD 患者及其护理人员的紧急需求
据我们所知,AD/ADRD 的具体细微差别和进展是来自家庭的综合管道。
解决 AD/ADRD 的许多挑战的临床和支持尚不存在。
该渠道将成为我们试点资助计划的核心。 AD/ADRD 试点核心具有以下具体内容。
目标:(1) 征求、审查和支持试点研究,以开发或推进人工智能和技术的使用
AD/ADRD 预测分析、临床决策支持或 AD/ADRD 成人护理,(2) 促进
宾夕法尼亚大学附属研究人员、我们的同行机构和研究中心网络之间的合作,以及
试点项目研究人员,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、试点项目申请人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:
$ 191.25万 - 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:
$ 191.25万 - 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:
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