Big Data Health Science Scholar Program for Infectious Diseases

传染病大数据健康科学学者计划

• 批准号: 10487564
• 负责人: Neset Hikmet
• 金额: $ 15.56万
• 依托单位: UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-10 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10487564
• 关键词: AIDS/HIV problem; Academic Training; Active Learning; Age; Area; Artificial Intelligence; Behavioral Sciences; Big Data; Biochemistry; Biomedical Engineering; Businesses; COVID-19; Caring; Cessation of life; Chemistry; Clinical Sciences; Communicable Diseases; Competence; Data; Databases; Development; Electronic Health Record; Entrepreneurship; Environment; Faculty; Fostering; Funding; Genomics; Goals; HIV; Health; Health Sciences; Healthcare; Hour; Infectious Diseases Research; Information Technology; Infrastructure; Intelligence; Knowledge; Link; Machine Learning; Manuscripts; Mathematics; Measures; Mentors; Methodology; Mission; NCI Scholars Program; National Institute of Allergy and Infectious Disease; Outcome; Patients; Persons; Process; Public Health; Research; Risk; Schools; Science; Scientist; Social Sciences; South Carolina; Strategic Planning; Students; Talents; Technology; Training; Training Programs; Underrepresented Populations; United States; base; big-data science; college; community engagement; comorbidity; data streams; disease transmission; experience; faculty mentor; genomic data; hands on research; health data; health science research; improved; innovation; insight; interest; mobile computing; nanobiomaterial; next generation; pre-doctoral; programs; recruit; social media; statistics; summer research; training opportunity; wearable device

Abstract Today, a critical mass of previously collected linked health care data is now available for optimizing patient health outcomes. Information, insights, and intelligence existing in such health care data can be unlocked efficiently using Big Data Science (BDS).As people age and live longer, increased demand for care will be two-fold, one for those living with more comorbidities, and second the emergent risks from new infectious diseases like COVID-19.The recent NIAID strategic plan for COVID-19 highlights the urgent and important need for high-quality scientific research to improve knowledge around disease transmission, surveillance, and its impact on health outcomes, and to develop both biomedical and public health measures to mitigate illness and death. The existence of several massive, and information rich big data streams in healthcare (e.g., electronic health records [EHR], mobile technologies, wearable devices, genomic data, geospatial data etc.) and the advances in information and computational technologies (e.g., machine learning and artificial intelligence) now offer an excellent hands-on training opportunity for applying innovative Big Data science (BDS) research to infectious diseases such as HIV/AIDS and COVID-19. To cultivate a thriving and talented pipeline of next generation scientists, it is essential to engage current students early and provide new and innovative training opportunities to generate interest in the biomedical, social, and behavioral, and clinical sciences. Therefore, we propose offering a 10-week Short-Term Summer Research Training Program titled “Big Data Health Science Scholar Program for Infectious Diseases” targeted towards predoctoral students in physical and/or quantitative sciences (departments of biomedical engineering, integrated information technology, chemistry/biochemistry, mathematics, statistics etc.) from across South Carolina (SC) and the United States (US). Predoctoral students completing this training will engage in experiential learning through hands- on research in infectious disease areas like HIV/AIDS, and COVID-19, both relevant to the NIAID mission. Selected predoctoral students will be paired with Program Faculty mentors from a pool of distinguished participating faculty for one-on-one mentoring. Trainees will be chosen through a competitive process based on their proposed research plan and goals for the summer experience. Specifically, we plan to recruit 8 predoctoral students from physical and quantitative sciences across the US per year (a total of 40 over the entire funding period) to participate in the 10-week summer intensive training program with the following objectives: Objective 1: Create a summer big data science training pipeline for qualified predoctoral students by exposing them to relevant courses/training for competency development in the application of BDS to infectious disease research. Objective 2: Engage trainees in hands-on research using HIV and COVID-19 data. Objective 3: Provide trainees with rich research mentoring experience in BDS research and professional development for at least one year (summer included). The proposed training program will be implemented with support of the existing infrastructure of USC's Big Data Health Center (BDHSC). The BDHSC, one of the USC's Excellence initiatives, promotes and supports Big Data health science research at USC and across SC through capacity development, academic training, professional development, community engagement, and methodological advancement. BDHSC contains 5 content cores (EHR, geospatial, genomic, social media, and bio-nanomaterial) and two supporting hubs (business/entrepreneurship and technology) with the involvement of 43 faculty from 10 USC college/schools. Upon the completion of the proposed training, each trainee is expected to: 1) complete 12 hours of academic training; 2) obtain hands-on BDS experience working on NIAID-funded research databases; and 3) develop at least one BDS manuscript on HIV or COVID-19 with their Program Faculty mentor. The training program will foster the research environment to encourage diverse applicants, including those from underrepresented groups, to pursue further Big Data health science research in HIV, COVID-19 and other NIAID focus areas.

抽象的 今天，现在可以使用大量先前收集的链接医疗保健数据 优化患者健康结果。这种健康中存在的信息，见解和情报 可以使用大数据科学（BD）有效解锁护理数据。随着人们的年龄和生活 更长的时间，对护理需求的增加将为两倍，一个是患有更多合并症的人， 第二 COVID-19的战略计划强调了高质量科学的紧急和重要需求 研究以提高有关疾病传播，监视及其对影响的知识的研究 健康结果，并制定生物医学和公共卫生措施以减轻疾病 和死亡。存在几种大量和信息丰富的大数据流中的存在 医疗保健（例如电子健康记录[EHR]，移动技术，可穿戴设备， 基因组数据，地理空间数据等）以及信息和计算的进步 技术（例如机器学习和人工智能）现在提供出色的动手 将创新的大数据科学（BDS）研究应用于传染性的培训机会 诸如艾滋病毒/艾滋病等疾病和covid-19。培养下一步的繁荣而有才华的管道 一代科学家，必须尽早吸引当前学生并提供新的学生和 创新的培训机会以引起对生物医学，社会和行为的兴趣， 和临床科学。因此，我们建议提供为期10周的短期夏季研究 培训计划，名为“大数据健康科学学者的传染病计划” 针对物理和/或定量科学领域的专业学生（ 生物医学工程，综合信息技术，化学/生物化学， 来自南卡罗来纳州（SC）和美国（美国）的数学，统计等）。 完成此培训的专业学生将通过动手进行专家学习 - 关于艾滋病毒/艾滋病等传染病领域的研究，以及covid-19，都与 尼亚德任务。选定的专业学生将与来自的课程教师导师配对 一对一的杰出教职员工一对一的心理。会选择学员 通过基于他们提出的研究计划和夏季目标的竞争过程 经验。特别是，我们计划招募来自物理和定量的8位学生 每年美国的科学（在整个资金期间总共40个）参加 为期10周的夏季强化培训计划具有以下目标： 目标1：为合格的典范创建夏季大数据科学培训管道 通过将他们暴露于相关课程/培训中，以进行能力发展 BDS应用于传染病研究。 目标2：使用HIV和COVID-19数据，让学员参与动手研究。 目标3：为受训者提供BDS研究中丰富的研究心理经验和 专业发展至少一年（包括夏季）。拟议的培训 计划将在USC大数据健康的现有基础架构的支持下实施 中心（BDHSC）。 BDHSC是USC卓越倡议之一，促进和支持 大数据健康科学研究通过能力开发，整个SC的整个SC， 学术培训，专业发展，社区参与和方法论 进步。 BDHSC包含5个内容核心（EHR，地理空间，基因组，社交媒体和 生物纳米材料）和两个支持枢纽（商业/企业家和技术） 来自10个USC学院/学校的43位教职员工的参与。提议完成后 培训，每位学员应：1）完成12个小时的学术培训； 2）获得 动手BDS经验在NIAID资助的研究数据库上工作； 3）在 至少有一个在HIV或Covid-19的BDS手稿及其课程教师导师。培训 计划将促进研究环境，以鼓励潜水申请人，包括 从代表性不足的群体，追求艾滋病毒的进一步大数据健康科学研究， Covid-19和其他NIAID焦点区域。