Collaborative Research: SCH: Smart Health & Biomedical Res in the Era of AI and Adv Data Sci PIs Meeting 2022: Smart Health through the Life Course
合作研究:SCH:智能健康
基本信息
- 批准号:2232237
- 负责人:
- 金额:$ 2.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-01 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project supports the Smart Health through the Life Cycle: SCH Principal Investigators Virtual Workshop on October 6-7, 2022. The meeting will bring together principal investigators of projects awarded by the Smart Health (SCH) program with other researchers looking at smart health in the broader community. The SCH program was set up to bridge gaps in fundamental science necessary to transform health and biomedical research. Smart Health through the Life Cycle Workshop is designed to address the next generation of challenges in advancing health with foundational research from the computer science, engineering, mathematics and the social, behavioral and economic disciplines. An objective of the workshop is to provide an opportunity for the principal investigators and other smart health researchers to explore research progress in a diverse set of projects and discuss important current issues, as well as future challenges associated with research in transdisciplinary scientific areas. The discussions will be supported by keynotes, panels, project-related posters, rapid talks and cross-discipline participant-generated workshops. It is anticipated that the meeting will stimulate discussions, connections, and collaborations that will facilitate progress in the area of Smart Health. The workshop should have a significant impact on the participants and the future of the Smart Health program. The focus of the workshop is on foundational research that supports the growth of smart health within connected communities. The workshop results are likely to include new research directions that will be publicized to the research community through publications and a workshop website. The results dissemination should inform and the developing Smart Health research community in their transdisciplinary collaboration, educational activities, and spur other innovative research directions. The broader impacts of the workshop are to facilitate progress in the field and stimulate conversations, connections, and collaborations that will lead toward better informed and effective smart and connected health research and resulting technologies for the broadest possible user populations. In order to address current concerns in Smart Health research the meeting will include a cross-discipline mini-workshops addressing current themes, such as advancing data science, bridging new frontier in sensing hardware, data infrastructure and the sue of technology to address health disparities. Additionally, there will be a workshop attached to the Principal Investigator meeting that will support the travel for ten students to attend the PI Workshop. This should also help grow the field by providing mentorship and support for a new cadre of investigators looking to do work in the Smart Health area.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该项目支持整个生命周期的智能健康:SCH 首席研究员虚拟研讨会将于 2022 年 10 月 6 日至 7 日举行。会议将汇集智能健康 (SCH) 计划授予的项目的首席研究员以及其他研究智能健康的研究人员更广泛的社区。 SCH 项目的设立是为了弥合基础科学领域的差距,以改变健康和生物医学研究。通过生命周期实现智能健康研讨会旨在通过计算机科学、工程、数学以及社会、行为和经济学科的基础研究来应对促进健康的下一代挑战。研讨会的目标是为主要研究人员和其他智能健康研究人员提供一个机会,探索各种项目的研究进展,并讨论当前的重要问题以及与跨学科科学领域的研究相关的未来挑战。讨论将得到主题演讲、小组讨论、项目相关海报、快速演讲和跨学科参与者举办的研讨会的支持。预计此次会议将促进讨论、联系和合作,从而促进智能健康领域的进展。研讨会应对参与者和智能健康计划的未来产生重大影响。研讨会的重点是支持互联社区内智能健康发展的基础研究。研讨会的结果可能包括新的研究方向,这些方向将通过出版物和研讨会网站向研究界公布。结果的传播应该为正在发展的智能健康研究界的跨学科合作、教育活动提供信息,并刺激其他创新研究方向。研讨会的更广泛影响是促进该领域的进展,并促进对话、联系和合作,从而为最广泛的用户群体带来更明智、更有效的智能互联健康研究和由此产生的技术。为了解决智能健康研究中当前的问题,会议将包括一个跨学科的小型研讨会,讨论当前的主题,例如推进数据科学,在传感硬件、数据基础设施和解决健康差距的技术方面架起新的前沿。此外,首席研究员会议还将举办一个研讨会,为 10 名学生参加 PI 研讨会提供旅行支持。这也应该通过为希望在智能健康领域开展工作的新研究人员队伍提供指导和支持来帮助该领域的发展。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力优势和更广泛的评估进行评估,被认为值得支持。影响审查标准。
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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Diane Cook其他文献
Associations of device‐measured physical activity and sedentary time with quality of life and fatigue in newly diagnosed breast cancer patients: Baseline results from the AMBER cohort study
设备测量的体力活动和久坐时间与新诊断乳腺癌患者的生活质量和疲劳之间的关联:AMBER 队列研究的基线结果
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:6.2
- 作者:
J. Vallance;C. Friedenreich;Qinggang Wang;C. Matthews;Lin Yang;M. McNeely;S. Culos;G. Bell;Andria R Morielli;Jessica McNeil;Leanne Dickau;Diane Cook;K. Courneya - 通讯作者:
K. Courneya
The Alberta Moving Beyond Breast Cancer (AMBER) Cohort Study: Recruitment, Baseline Assessment, and Description of the First 500 Participants
艾伯塔省超越乳腺癌 (AMBER) 队列研究:招募、基线评估和前 500 名参与者的描述
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:3.8
- 作者:
K. Courneya;M. McNeely;S. Culos;J. Vallance;G. Bell;J. Mackey;C. Matthews;Andria R Morielli;Diane Cook;S. MacLaughlin;M. Farris;Stephanie Voaklander;Rachel O’Reilly;C. Friedenreich - 通讯作者:
C. Friedenreich
Use of machine learning to predict medication adherence in individuals at risk for atherosclerotic cardiovascular disease.
使用机器学习来预测有动脉粥样硬化性心血管疾病风险的个体的药物依从性。
- DOI:
10.1016/j.smhl.2022.100328 - 发表时间:
2022-10-01 - 期刊:
- 影响因子:0
- 作者:
Seyed Iman Mirzadeh;Asiful Arefeen;Jessica Ardo;Ramin Fallahzadeh;B. Minor;Jung;Janett A. Hildebr;Diane Cook;Hassan Ghasemzadeh;L. Evangelista - 通讯作者:
L. Evangelista
Remote Monitoring of the Performance Status and Burden of Symptoms of Patients With Gastrointestinal Cancer Via a Consumer-Based Activity Tracker: Quantitative Cohort Study
通过基于消费者的活动跟踪器远程监测胃肠癌患者的表现状态和症状负担:定量队列研究
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:2.8
- 作者:
Alireza Ghods;A. Shahrokni;Hassan Ghasemzadeh;Diane Cook - 通讯作者:
Diane Cook
The Influence of Social Factors on Common Mental Disorders
社会因素对常见精神疾病的影响
- DOI:
10.1192/bjp.156.5.704 - 发表时间:
1990-05-01 - 期刊:
- 影响因子:10.5
- 作者:
D. Goldberg;K. Bridges;Diane Cook;Barbara Evans;D. Grayson - 通讯作者:
D. Grayson
Diane Cook的其他文献
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{{ truncateString('Diane Cook', 18)}}的其他基金
EAGER: Multi-objective generation of synthetic time series data to boost model robustness and data privacy
EAGER:合成时间序列数据的多目标生成,以提高模型的稳健性和数据隐私
- 批准号:
2240615 - 财政年份:2023
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
EAGER: Collaborative Research: Spatiotemporal transfer learning for enabling cross-country and cross-hemisphere in-season crop mapping
EAGER:协作研究:时空迁移学习,用于实现跨国和跨半球的当季作物绘图
- 批准号:
2227961 - 财政年份:2022
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
EAGER: Collaborative Research: Spatiotemporal transfer learning for enabling cross-country and cross-hemisphere in-season crop mapping
EAGER:协作研究:时空迁移学习,用于实现跨国和跨半球的当季作物绘图
- 批准号:
2227961 - 财政年份:2022
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
CHS: Medium: Behavior360: Learning a Human Behaviorome in Uncontrolled Settings
CHS:媒介:Behavior360:在不受控制的环境中学习人类行为组
- 批准号:
1954372 - 财政年份:2020
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
NRI: INT: Learning-Enabled Robot Support of Daily Activities for Successful Activity Completion
NRI:INT:支持学习的机器人支持日常活动以成功完成活动
- 批准号:
1734558 - 财政年份:2017
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
CPS: TTP Option: Synergy: Collaborative Research: The Science of Activity-Predictive Cyber-Physical Systems (APCPS)
CPS:TTP 选项:协同:协作研究:活动预测网络物理系统 (APCPS) 的科学
- 批准号:
1543656 - 财政年份:2015
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
CI-ADDO-EN: Smart Home in a Box: Creating a Large Scale, Long Term Repository for Smart Environment Technologies
CI-ADDO-EN:盒子里的智能家居:为智能环境技术创建大规模、长期存储库
- 批准号:
1262814 - 财政年份:2013
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
Supporting US-Based Students to Attend the 2013 IEEE International Conference on Data Mining (ICDM 2013)
支持美国学生参加 2013 年 IEEE 国际数据挖掘会议 (ICDM 2013)
- 批准号:
1313551 - 财政年份:2013
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
IEEE PerCom 2011 Student Travel Support
IEEE PerCom 2011 学生旅行支持
- 批准号:
1057724 - 财政年份:2011
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
SHB: Medium: Collaborative Research: Crafting a Human-Centric Environment to Support Human Health Needs
SHB:媒介:合作研究:打造以人为本的环境来支持人类健康需求
- 批准号:
1064628 - 财政年份:2011
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
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