Administration and Coordination Core (ACC)
行政和协调核心 (ACC)
基本信息
- 批准号:10386498
- 负责人:
- 金额:$ 24.25万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-01-19 至 2026-12-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAffectAreaArtificial IntelligenceBehaviorCommunitiesComplexComputational ScienceComputing MethodologiesDataData CollectionData ScienceData SetDevelopmentEconomicsEnsureEnvironmentEthicsFeedbackGoalsGrantHealthHuman ResourcesIndividualInformaticsInformation SystemsIntakeLaboratoriesLeadModelingNutrientNutritionalObesityOrganOutcomePathway interactionsPersonsPilot ProjectsPrecision HealthProceduresProcessProtocols documentationPublic HealthPublicationsResearchResearch PersonnelRestRunningSkinSystemTestingTimeVisionWorkabsorptionbasecomplex datacomputerized toolscomputing resourcesdietaryinsightnutritionoperationprecision nutritionprogramssocialtoolvirtualvirtual humanvirtual laboratoryworking group
项目摘要
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.
摘要-管理和协调核心(ACC)
这一提议的人工智能、建模和信息学的愿景是用于营养指导和
系统(目标)中心旨在实施计算和数据科学方法和工具,以
以一种考虑到所涉及的复杂系统的方式,促进精确健康的营养。这
包括对影响不同人饮食的所有因素和过程的深刻理解
行为和不同营养素的摄入、吸收和加工,从而产生短期和长期的健康
结果,以及这些结果相互影响的方式。在没有帮助的情况下,可能会面临挑战
了解并解决像营养和健康这样的复杂系统。因果关系交叉
不同的尺度(例如,细胞级别、器官级别、个人级别、社会和环境级别)具有不同的
反馈循环,并随着时间的推移而演变。在过去的二十年里,计算能力和数据科学
长势很大。正确地使用计算方法可以帮助填补重要的空白,展示因果关系
关系,将它们结合在一起,更好地描述营养系统;然而,如果使用不当,
这种方法可能导致误导性的见解,可能包含偏见,并加剧现有的差距。
理解和处理复杂系统需要自上而下和自下而上的方法。vbl.使用
单是自上而下的方法就会导致误解和偏见。相比之下,自下而上的方法可以
通过阐明所涉及的机制来重建系统。目标中心将致力于推进
通过构建自上而下和自下而上的方法和工具来实现精确健康的营养
充分利用现有数据的全部潜力。这样的方法不仅可以改变营养研究
和指导,但对其他卫生领域也是如此。许多主要的健康和公共卫生问题是
系统崩溃的结果,因此需要更多的系统方法来提出更可持续的方案
解决办法。管理和协调核心的目标1是协调中心的运营以发展
自上而下和自下而上的计算方法和工具,以更好地理解和解决
以道德和不偏不倚的方式参与精确营养的系统。目标2是协调
中心和跨精准健康营养(NPH)联盟开发共享方法和
推进研究计划目标的程序(例如,开发使用数据的协议
以合乎道德和透明的方式,制定程序和生成人工智能就绪的数据集)。
目标3是实施一项试点拨款计划,以扩大研究人员和利益相关者的社区
正在研究计算方法,以了解精确营养中的复杂数据和系统
合乎道德的态度。目标4是促进计算方法和工具的更广泛开发和使用
这有助于更好地理解和处理影响和受营养影响的系统,作为伦理和
尽可能不偏不倚的举止。
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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{{ truncateString('Bruce Y Lee', 18)}}的其他基金
Simulating the Spread and Control of Multiple MDROs Across a Network of Different Nursing Homes
模拟多个 MDRO 在不同疗养院网络中的传播和控制
- 批准号:
10549492 - 财政年份:2023
- 资助金额:
$ 24.25万 - 项目类别:
Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems (AIMINGS) Center
营养指导和系统人工智能、建模和信息学 (AIMINGS) 中心
- 批准号:
10386497 - 财政年份:2022
- 资助金额:
$ 24.25万 - 项目类别:
Project 3: The Virtual Human for Precision Nutrition
项目 3:精准营养虚拟人
- 批准号:
10552681 - 财政年份:2022
- 资助金额:
$ 24.25万 - 项目类别:
Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems (AIMINGS) Center
营养指导和系统人工智能、建模和信息学 (AIMINGS) 中心
- 批准号:
10552675 - 财政年份:2022
- 资助金额:
$ 24.25万 - 项目类别:
Project 4: Virtual Public Health Precision Nutrition Laboratory
项目4:虚拟公共卫生精准营养实验室
- 批准号:
10552687 - 财政年份:2022
- 资助金额:
$ 24.25万 - 项目类别:
Project 4: Virtual Public Health Precision Nutrition Laboratory
项目4:虚拟公共卫生精准营养实验室
- 批准号:
10386502 - 财政年份:2022
- 资助金额:
$ 24.25万 - 项目类别:
Project 3: The Virtual Human for Precision Nutrition
项目 3:精准营养虚拟人
- 批准号:
10386501 - 财政年份:2022
- 资助金额:
$ 24.25万 - 项目类别:
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