Southern HIV and Alcohol Research Consortium Biomedical Data Repository

南方艾滋病毒和酒精研究联盟生物医学数据存储库

• 批准号: 10685443
• 负责人: Robert L Cook
• 金额: $ 48.35万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-22 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10685443
• 关键词: Acceleration; Address; Alcohol consumption; Alcohols; Applications Grants; Artificial Intelligence; Behavioral; Big Data; Biological; Biometry; Biotechnology; Caring; Clinical Data; Clinical Sciences; Communities; Complex; Computerized Medical Record; Data; Data Analyses; Data Analytics; Data Science; Data Set; Data Sources; Development; Devices; Disease Progression; Disparate; Epidemic; Etiology; FAIR principles; Faculty; Florida; Funding; Goals; HIV; HIV Infections; HIV/AIDS; Health; Health Services Research; Hepatitis C; Intervention; Knowledge; Knowledge Discovery; Machine Learning; Medical Imaging; Monitor; Morbidity - disease rate; Multiomic Data; National Institute on Alcohol Abuse and Alcoholism; Online Systems; Outcome; Paper; Parents; Pathogenicity; Persons; Physiology; Policy Research; Predisposition; Preparation; Procedures; Process; Protocols documentation; Publications; Research; Research Activity; Research Infrastructure; Research Personnel; Research Project Grants; Source; Standardization; Surveillance Program; Surveys; System; Technology; Training; Training Programs; Translational Research; Trust; Tuberculosis; United States; United States National Institutes of Health; Universities; alcohol research; alcohol use disorder; catalyst; co-infection; comorbidity; data access; data centers; data ingestion; data integration; data management; data privacy; data repository; data resource; data reuse; data sharing; data standards; improved; insight; mHealth; meetings; mortality; multimodal data; multimodality; novel; online community; prevent; privacy protection; repository; shared database; sharing platform; training opportunity; transmission process; user-friendly; virtual

Abstract: The number of persons living with HIV (PLWH) continues to increase in the United States. Alcohol consumption is a significant barrier to both achieving the goal of ending the HIV epidemic and preventing comorbidities among PLWH, as it contributes to both HIV transmission and HIV-related complications. Recent advances in data capture systems such as mHealth devices, medical imaging, and high-throughput biotechnologies make large/complex research and clinical datasets available, including survey data, multi-omics data, electronic medical records, and/or other sources of reliable information related to engagement in care. This offers tremendous potential of applying “big” data to extract knowledge and insights regarding fundamental physiology, understand the mechanisms by which the pathogenic effects of biotic and abiotic factors are realized, and identify potential intervention targets. We propose to integrate the disparate data sources maintained by our partners and then utilize the big data to address research questions in treating HIV and alcohol-related morbidity and mortality. Specifically, we will pursue the following three aims: 1) Integrate the disparate data sources through standardization, harmonization, and merging; 2) Develop a web-based data sharing platform including virtual data sharing communities, data privacy protection, streamlined data approval and access, and tracking of ongoing research activities; 3) Provide statistical support to junior investigators to use the data repository for exploratory data analysis and proposal development. The proposed study will tap into disparate data sources, unleash the potential of data and information, accelerate knowledge discovery, advance data-powered health, and transform discovery to improve health outcomes for PLWH.

抽象的： 美国艾滋病毒感染者 (PLWH) 人数持续增加。 饮酒是实现终止艾滋病毒目标的重大障碍 流行病并预防感染者中的合并症，因为它有助于艾滋病毒传播 数据采集​​系统（例如移动医疗）的最新进展。 设备、医学成像和高通量生物技术进行大型/复杂的研究 可用的临床数据集，包括调查数据、多组学数据、电子医疗 记录和/或与参与护理相关的其他可靠信息来源。 应用“大”数据提取知识和见解的巨大潜力 基础生理学，了解生物致病作用的机制 和非生物因素，并确定潜在的干预目标。 整合我们的合作伙伴维护的不同数据源，然后利用大数据 解决治疗艾滋病毒和酒精相关发病率和死亡率的研究问题。 具体来说，我们将追求以下三个目标：1）整合不同的数据源 2）开发基于网络的数据共享 平台包括虚拟数据共享社区、数据隐私保护、简化数据 批准和访问以及跟踪正在进行的研究活动；3）提供统计支持； 供初级研究人员使用数据存储库进行探索性数据分析和建议 拟议的研究将利用不同的数据源，释放潜力。 数据和信息，加速知识发现，推进数据驱动的健康，以及 转变发现以改善 PLWH 的健康结果。

项目成果

On Outsourcing Artificial Neural Network Learning of Privacy-Sensitive Medical Data to the Cloud.

将隐私敏感的医疗数据的人工神经网络学习外包到云端。

• 发表时间: 2021-11
• 作者: Melissourgos, Dimitrios;Gao, Hanzhi;Ma, Chaoyi;Chen, Shigang;Wu, Samuel S
• 通讯作者: Wu, Samuel S

Changes in Mental Health Among People with HIV During the COVID-19 Pandemic: Qualitative and Quantitative Perspectives.

COVID-19 大流行期间艾滋病毒感染者心理健康的变化：定性和定量视角。

• 发表时间: 2022-06
• 影响因子: 4.4
• 作者: Parisi, Christina E;Varma, Deepthi S;Wang, Yan;Vaddiparti, Krishna;Ibañez, Gladys E;Cruz, Liset;Cook, Robert L
• 通讯作者: Cook, Robert L

Training Medical-Diagnosis Neural Networks on the Cloud with Privacy-Sensitive Patient Data from Multiple Clients.

使用来自多个客户端的隐私敏感患者数据在云上训练医疗诊断神经网络。

• 发表时间: 2022-08
• 作者: Melissourgos, Dimitrios;Gao, Hanzhi;Ma, Chaoyi;Chen, Shigang;Wu, Sam S
• 通讯作者: Wu, Sam S