IUCRC Phase I UArizona: Center to Stream Healthcare In Place (C2SHIP)

IUCRC 第一阶段 UArizona：医疗保健就地流中心 (C2SHIP)

• 批准号: 2052528
• 负责人: Janet Roveda
• 金额: $ 112.5万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-01 至 2026-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2052528&HistoricalAwards=false
• 关键词: IUCRC; Phase; UArizona; Center; Stream

Chronic health conditions are financially and emotionally costly. Immediate, creative action is needed to provide solutions for managing physical, social and psychological needs that maintain autonomy and quality of life. Research on long-term functioning of those with chronic illnesses is lacking. The Center to Stream Healthcare In Place (C2SHIP) unites the best minds in academic medicine with leaders in biomedical industry to research, develop and promote in-place care technologies for managing chronic diseases in the home. The University of Arizona serves as the C2SHIP Lead Site with Partner Sites being University of Southern California, Baylor College of Medicine, and California Institute of Technology. The Center will accelerate innovation through partnerships, multi-specialty collaborations, and resource sharing. C2SHIP will prepare an educated workforce to promote wellness through self-care technologies.The Center’s trans-disciplinary team will pursue research and development in new material-based sensors, reconfigurable designs, and system integration with data mining, machine learning, and Artificial Intelligence. Through “Internet of Things”, patient data can be streamed to medical professionals at remote locations in real-time, establishing a mobile hub for vulnerable patients in their own home. C2SHIP will focus on mitigating physiological, environmental, and psychological changes for real-time management and intervention. The University of Arizona site will focus on the design and develop of new sensors and systems that can perform effective and accurate data analysis using machine learning and Artificial Intelligence technologies. The Center will accelerate knowledge and intellectual property transfer between academia and industry through collaborative partnerships. This will promote rapid development of new technologies , and transform health care delivery by enhancing the quality of life of chronically-ill patients while reducing health care costs and preventing hospitalizations. Student engagement in the proposed research projects will create opportunities with Center companies and organizations, and provide multidisciplinary participation at C2SHIP conferences and workshops. The University of Arizona site will recruit students from diverse backgrounds by engaging them in the proposed research. The University of Arizona site will work with The Center to engage underrepresented undergraduates through cross site workforce development plans and activities.Data produced from this project will be deposited in servers at the C2SHIP Center using password protected Box data sharing folder and will keep for duration of five years. Box is a cloud computing business which provides file-sharing, collaborating, and other tools for working with files that are uploaded to its servers. The PIs and Co-PIs at the C2SHIP Center will have password-protected accounts and servers to conduct their research. The proposed study will only collect non-sensitive data. No personal identifiers will be recorded or retained by the researchers in any form. The University of Arizona projects that collect patient data will be approved by The University of Arizona IRB prior to project onset. All data will be deidentified, with no personal identifiers recorded or retained in any form.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.

慢性健康状况在经济上和情感上都是昂贵的。需要立即采取创造性的行动，为管理身体、社会和心理需求提供解决方案，以保持自主性和生活质量。缺乏对慢性病患者长期功能的研究。该中心流医疗到位（C2 SHIP）团结在学术医学与生物医学行业的领导者，研究，开发和促进在家里管理慢性病的就地护理技术的最佳头脑。亚利桑那大学是C2 SHIP的牵头机构，合作机构包括南加州大学、贝勒医学院和加州理工学院。该中心将通过合作伙伴关系，多专业合作和资源共享来加速创新。C2 SHIP将培养一支受过良好教育的员工队伍，通过自我保健技术促进健康。该中心的跨学科团队将致力于研究和开发基于新材料的传感器，可重构设计以及与数据挖掘，机器学习和人工智能的系统集成。通过“物联网”，患者数据可以实时流传输到远程位置的医疗专业人员，为脆弱的患者在自己家中建立移动的中心。C2 SHIP将专注于减轻生理，环境和心理变化，以进行实时管理和干预。亚利桑那大学的网站将专注于设计和开发新的传感器和系统，可以使用机器学习和人工智能技术进行有效和准确的数据分析。该中心将通过合作伙伴关系加速学术界和工业界之间的知识和知识产权转移。这将促进新技术的快速发展，并通过提高慢性病患者的生活质量，同时降低医疗保健成本和防止住院来改变医疗保健服务。学生参与拟议的研究项目将与中心公司和组织创造机会，并在C2 SHIP会议和研讨会上提供多学科参与。亚利桑那大学的网站将通过让他们参与拟议的研究来招募来自不同背景的学生。亚利桑那大学网站将与该中心合作，通过跨网站的劳动力发展计划和活动，吸引代表性不足的本科生。从这个项目产生的数据将被存放在C2 SHIP中心的服务器使用密码保护的Box数据共享文件夹，并将保持五年的持续时间。Box是一家云计算公司，提供文件共享、协作和其他工具，用于处理上传到其服务器的文件。C2 SHIP中心的PI和Co-PI将拥有受密码保护的帐户和服务器来进行研究。拟议的研究将只收集非敏感数据。研究人员不会以任何形式记录或保留任何个人身份信息。亚利桑那大学收集患者数据的项目将在项目开始前获得亚利桑那大学IRB的批准。所有数据都将被去识别化，不会以任何形式记录或保留任何个人标识符。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

项目成果

DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal

DeScoD-ECG：用于心电图基线漂移和噪声消除的基于深度评分的扩散模型

• DOI: 10.1109/jbhi.2023.3237712
• 发表时间: 2023
• 期刊: IEEE Journal of Biomedical and Health Informatics
• 影响因子: 7.7
• 作者: Li, Huayu;Ditzler, Gregory;Roveda, Janet;Li, Ao
• 通讯作者: Li, Ao