Administration and Coordination Core (ACC)
Administration and Coordination Core (ACC)
批准号:
10552676
负责人:
Bruce Y Lee
金额:
$41.33万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-01-19 至 2027-06-30
关键词:
AddressAffectAreaArtificial IntelligenceBehaviorCommunitiesComplexComputational ScienceComputing MethodologiesDataData CollectionData ScienceData SetDevelopmentDisparateDisparityEconomicsEnvironmentEthicsFeedbackGoalsGrantHealthHuman ResourcesIndividualInformaticsIntakeLaboratoriesModelingNutrientNutritionalObesityOrganOutcomePathway interactionsPersonsPilot ProjectsPrecision HealthProceduresProcessProtocols documentationPublic HealthPublicationsResearchResearch PersonnelRestRunningSkinSystemTestingTimeVisionWorkabsorptioncomplex datacomputerized toolscomputing resourcesdietaryinsightnutritionoperationprecision nutritionprogramssocialtoolusabilityvirtualvirtual humanvirtual laboratoryworking group
中文摘要
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英文摘要
Abstract- Administration and Coordination Core (ACC)
The vision of this proposed Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and
Systems (AIMINGS) Center is to implement computational and data science approaches and tools to
advance nutrition for precision health in a way that accounts for the complex systems involved. This
involves a deep understanding of all of the factors and processes that affect different people's dietary
behaviors and intake, absorption and processing of different nutrients, resulting in short- and long-term health
outcomes, and the way each of these affect one another. Without assistance, it can be challenging to
understand and address complex systems like nutrition and health. Cause-and-effect relationships cross
different scales (e.g., cellular-level, organ-level, individual-level, social-and-environmental level), have various
feedback loops, and evolve over time. Over the past two decades, computational power and data science have
grown substantially. Used correctly, computational approaches can help fill in important gaps, lay out causal
relationships, bring them together, and better characterize the system of nutrition; however, used incorrectly,
such approaches can result in misleading insights that may incorporate biases and worsen existing disparities.
Understanding and addressing complex systems requires both top-down and bottoms-up approaches. Using
top-down approaches alone can lead to misconceptions and bias. In contrast, bottoms-up approaches work to
rebuild the system by elucidating the mechanisms involved. The AIMINGS Center will aim to advance
nutrition for precision health by building both top-down and bottoms-up approaches and tools to
leverage existing data to its full potential. Such an approach could not only transform nutritional research
and guidance but also do so with other areas of health. Many major health and public health problems are the
result of broken systems and thus require more systems approaches to come up with more sustainable
solutions. Aim 1 of the Administration and Coordination Core is to coordinate the Center operations to develop
both top-down and bottoms-up computational approaches and tools to better understand and address the
systems involved in precision nutrition in an ethical and unbiased manner. Aim 2 is to coordinate between the
Center and across the Nutrition for Precision Health (NPH) consortium to develop shared approaches and
procedures to advance the goals of the research program (e.g., developing protocols to work with data in an
ethical and transparent manner, developing procedures and generating artificial intelligence-ready datasets).
Aim 3 is to implement a Pilot Grant Program to expand the community of researchers and stakeholders who
are working on computational approaches to understand complex data and systems in precision nutrition in an
ethical manner. Aim 4 is to catalyze the broader development and use of computational methods and tools
that help better understand and approach the systems that affect and are affected by nutrition in as ethical and
unbiased manners as possible.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Simulating the Spread and Control of Multiple MDROs Across a Network of Different Nursing Homes
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批准号:10549492
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项目类别:
-
资助金额:$52.63万
-
财政年份:2023
-
负责人:Bruce Y Lee
-
依托单位:
Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems (AIMINGS) Center
-
批准号:10386497
-
项目类别:
-
资助金额:$121.25万
-
财政年份:2022
-
负责人:Bruce Y Lee
-
依托单位:
Administration and Coordination Core (ACC)
-
批准号:10386498
-
项目类别:
-
资助金额:$24.25万
-
财政年份:2022
-
负责人:Bruce Y Lee
-
依托单位:
Project 3: The Virtual Human for Precision Nutrition
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批准号:10552681
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项目类别:
-
资助金额:$16.57万
-
财政年份:2022
-
负责人:Bruce Y Lee
-
依托单位:
Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems (AIMINGS) Center
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批准号:10552675
-
项目类别:
-
资助金额:$129.75万
-
财政年份:2022
-
负责人:Bruce Y Lee
-
依托单位:
AIMDMB Shared Resource Core
-
批准号:10552692
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项目类别:
-
资助金额:$33.95万
-
财政年份:2022
-
负责人:Bruce Y Lee
-
依托单位:
Project 4: Virtual Public Health Precision Nutrition Laboratory
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批准号:10386502
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项目类别:
-
资助金额:$24.25万
-
财政年份:2022
-
负责人:Bruce Y Lee
-
依托单位:
AIMDMB Shared Resource Core
-
批准号:10386504
-
项目类别:
-
资助金额:$24.25万
-
财政年份:2022
-
负责人:Bruce Y Lee
-
依托单位:
Project 4: Virtual Public Health Precision Nutrition Laboratory
-
批准号:10552687
-
项目类别:
-
资助金额:$19.18万
-
财政年份:2022
-
负责人:Bruce Y Lee
-
依托单位:
Project 3: The Virtual Human for Precision Nutrition
-
批准号:10386501
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项目类别:
-
资助金额:$24.25万
-
财政年份:2022
-
负责人:Bruce Y Lee
-
依托单位:
Regional Healthcare Ecosystem Analyst (RHEA) Modeling the Environment (MODE)
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批准号:10448408
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项目类别:
-
资助金额:$43.25万
-
财政年份:2020
-
负责人:Bruce Y Lee
-
依托单位:
Regional Healthcare Ecosystem Analyst (RHEA) Modeling the Environment (MODE)
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批准号:9973308
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项目类别:
-
资助金额:$43.07万
-
财政年份:2020
-
负责人:Bruce Y Lee
-
依托单位:
MOdeling Nursing homes to Affect Response to COVID-19 (MONARC)
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批准号:10311555
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项目类别:
-
资助金额:$49.35万
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财政年份:2020
-
负责人:Bruce Y Lee
-
依托单位:
Regional Healthcare Ecosystem Analyst (RHEA) Modeling the Environment (MODE)
-
批准号:10180980
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项目类别:
-
资助金额:$43.33万
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财政年份:2020
-
负责人:Bruce Y Lee
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依托单位:
MOdeling Nursing homes to Affect Response to COVID-19 (MONARC)
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批准号:10194001
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项目类别:
-
资助金额:$50.0万
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财政年份:2020
-
负责人:Bruce Y Lee
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依托单位:
Regional Healthcare Ecosystem Analyst (RHEA) Modeling the Environment (MODE)
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批准号:10652408
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项目类别:
-
资助金额:$43.32万
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财政年份:2020
-
负责人:Bruce Y Lee
-
依托单位:
Regional Healthcare Ecosystem Analyst (RHEA) Modeling the Environment (MODE): SARS-CoV-2
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批准号:10202048
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项目类别:
-
资助金额:$32.26万
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财政年份:2020
-
负责人:Bruce Y Lee
-
依托单位:
Virtual Population Obesity Prevention (VPOP) Labs: Computational, Multi-Scale Models for Obesity Solutions
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批准号:9982009
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项目类别:
-
资助金额:$53.78万
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财政年份:2019
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负责人:Bruce Y Lee
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依托单位:
Early Life Determinants of Obesity in U.S. Urban Low Income Minority Birth Cohort
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批准号:9006422
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项目类别:
-
资助金额:$69.65万
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财政年份:2016
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负责人:Bruce Y Lee
-
依托单位:
Early Life Determinants of Obesity in U.S. Urban Low Income Minority Birth Cohort
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批准号:9197671
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项目类别:
-
资助金额:$66.2万
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财政年份:2016
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负责人:Bruce Y Lee
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依托单位:
海外基金