MUST Data Science Research Hub (MUDSReH)

澳门科技大学数据科学研究中心 (MUDSReH)

• 批准号: 10678687
• 负责人: Leo Anthony G Celi
• 金额: $ 127.94万
• 依托单位: MBARARA UNIVERSITY/SCIENCE/ TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-15 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10678687
• 关键词: Academia; Accounting; Address; Africa; Africa South of the Sahara; African; Artificial Intelligence; Attention; Calibration; Cancer Detection; Cellular Phone; Central Africa; Cervical; Cervix Uteri; Clinical; Clinical Data; Collaborations; Collection; Computerized Medical Record; Data; Data Analyses; Data Linkages; Data Science; Data Security; Dermatology; Development; Diabetic Retinopathy; Diagnosis; Disease; Eastern Africa; Ecosystem; Ensure; Equipment; Eye diseases; Fostering; Funding; Future; General Hospitals; Ghana; Goals; Grant; Health; Health Policy; Health Priorities; Health system; Healthcare; Image; Image Analysis; Individual; Institution; Kenya; Knowledge; Label; Machine Learning; Macular degeneration; Malignant neoplasm of cervix uteri; Managed Care; Massachusetts; Medical Imaging; Methodology; Methods; Mission; Nongovernmental Organizations; Ophthalmologist; Outcome; Pathway interactions; Patients; Policy Maker; Policy Making; Population; Positioning Attribute; Posterior eyeball segment structure; Quality Control; Radiology Specialty; Research; Research Personnel; Research Project Grants; Resource Allocation; Resources; Role; Science; Site; Southern Africa; Surveys; Techniques; Technology; Training; Translating; Uganda; United States National Institutes of Health; Universities; Work; algorithm development; artificial intelligence algorithm; care delivery; clinical care; clinical database; clinical diagnosis; clinical practice; clinically relevant; college; community organizations; computerized data processing; data exchange; data harmonization; data infrastructure; data integration; data management; data quality; design; fundus imaging; health care delivery; implementation science; improved; innovation; multidisciplinary; open data; programs; quality assurance; skills; symposium; technology diffusion; uptake; Academia; Accounting; Address; Africa; Africa South of the Sahara; African; Artificial Intelligence; Attention; Calibration; Cancer Detection; Cellular Phone; Central Africa; Cervical; Cervix Uteri; Clinical; Clinical Data; Collaborations; Collection; Computerized Medical Record; Data; Data Analyses; Data Linkages; Data Science; Data Security; Dermatology; Development; Diabetic Retinopathy; Diagnosis; Disease; Eastern Africa; Ecosystem; Ensure; Equipment; Eye diseases; Fostering; Funding; Future; General Hospitals; Ghana; Goals; Grant; Health; Health Policy; Health Priorities; Health system; Healthcare; Image; Image Analysis; Individual; Institution; Kenya; Knowledge; Label; Machine Learning; Macular degeneration; Malignant neoplasm of cervix uteri; Managed Care; Massachusetts; Medical Imaging; Methodology; Methods; Mission; Nongovernmental Organizations; Ophthalmologist; Outcome; Pathway interactions; Patients; Policy Maker; Policy Making; Population; Positioning Attribute; Posterior eyeball segment structure; Quality Control; Radiology Specialty; Research; Research Personnel; Research Project Grants; Resource Allocation; Resources; Role; Science; Site; Southern Africa; Surveys; Techniques; Technology; Training; Translating; Uganda; United States National Institutes of Health; Universities; Work; algorithm development; artificial intelligence algorithm; care delivery; clinical care; clinical database; clinical diagnosis; clinical practice; clinically relevant; college; community organizations; computerized data processing; data exchange; data harmonization; data infrastructure; data integration; data management; data quality; design; fundus imaging; health care delivery; implementation science; improved; innovation; multidisciplinary; open data; programs; quality assurance; skills; symposium; technology diffusion; uptake

Overall Research Plan Project Summary. Significance. Data science hold great promise for sub-Saharan Africa, yet research capacity and appropriate training are limited. Medical images are particularly exciting for data science in this setting given their ability to facilitate care delivery across healthcare cadres. Efforts to translate the knowledge gained through data science into improved clinical care can be fostered through implementation science. Strategic multi-disciplinary, multi-institutional partnerships will be key for the development and ultimate impact of data science for African-based solutions. Innovation. This proposal is innovative in 1) its use of data science with medical images for advancing clinical care, and 2) integration of data science with implementation science to promote clinical impact. Approach. The Mbarara University Data Science Research Hub (MUDSReH) in Uganda will use multiple technologies to improve the capture of medical images and employ key data science methods, such as machine learning and artificial intelligence, to expand their utilization in sub-Saharan Africa. Clinical impact will be strengthened through implementation science methods. Formal training will be available for both data science and implementation science, and ongoing expansion of efforts will be promoted through regional summits and collaboration. The two initial research projects—optimized posterior fundus imaging to diagnose posterior segment eye disease and mobile- phone based cervical images to detect cancer—will involve partnerships with the College of Ophthalmologists of Eastern, Central and Southern Africa in Kenya and the Kwame Nkrumah University of Science and Technology in Ghana, respectively. Massachusetts Institute of Technology will provide technical support for data management and analysis, and Massachusetts General Hospital will support the use of implementation science and other relevant content areas for individual research projects. Each project will work with local Ministries of Health, community-based organizations, and/or technology partners to advance the mission of harnessing medical images for improved clinical outcomes and impact. Our specific aims are as follows: 1. To integrate all partnering academic institutions, technology companies, and non-governmental organizations to advance data science for medical imaging. All partners will contribute to a common infrastructure for data processing and analysis. We will establish both the administrative and technical mechanisms for data exchange, accounting for necessary data security and quality assurance and control. We will further create pathways for facile expansion to include additional research projects involving medical imaging (e.g., in radiology and dermatology) at multiple African institutions. 2. To integrate implementation science with data science to advance clinical impact. All research projects in the MUDSReH will include implementation science methodologies to ensure the developed technology reaches the end user in practical ways that meet local needs and priorities.

总体研究计划项目摘要。意义。数据科学对撒哈拉以南有很大的希望 非洲，但是研究能力和适当的培训是有限的。医疗图像特别令人兴奋 在这种环境中，数据科学鉴于他们有能力促进整个医疗干部的护理服务。努力 可以通过数据科学获得的知识转化为改进的临床护理 实施科学。战略性的多学科，多机构合作伙伴关系将是关键 数据科学对基于非洲的解决方案的发展和最终影响。创新。该提议是 1）将数据科学与医学图像一起用于推进临床护理的创新性； 2） 具有实施科学的数据科学，以促进临床影响。方法。姆巴拉拉大学数据 乌干达的科学研究中心（Mudshreh）将使用多种技术来改善捕获的捕获 医学图像和员工关键数据科学方法，例如机器学习和人工智能， 扩大其在撒哈拉以南非洲的利用。通过实施将增强临床影响 科学方法。正规培训将用于数据科学和实施科学，以及 努力的持续扩展将通过区域峰会和协作来促进。两个首字母 研究项目 - 优化的后底面成像，以诊断后部细分眼睛疾病和移动性 - 基于电话的宫颈图像检测癌症 - 将涉及与眼科学院的合作伙伴关系 肯尼亚的东部，中部和南部非洲以及夸梅·恩克鲁玛科学大学 加纳的技术分别。马萨诸塞州理工学院将为 数据管理和分析，马萨诸塞州总医院将支持实施的使用 科学和其他有关个人研究项目的相关内容领域。每个项目都将与本地合作 卫生部，社区组织和/或技术合作伙伴，以促进使命 利用医学图像以改善临床结果和影响。我们的具体目的如下： 1。整合所有合作伙伴的学术机构，技术公司和非政府 为了推进医学成像的数据科学的组织。所有合作伙伴将为一个共同做出贡献 用于数据处理和分析的基础架构。我们将建立行政和技术 数据交换的机制，考虑必要的数据安全以及质量保证和控制。 我们将进一步创建便利扩展的途径，包括涉及的其他研究项目 多个非洲机构的医学成像（例如放射学和皮肤病学）。 2。将实施科学与数据科学整合起来，以提高临床影响。所有研究 泥泞的项目将包括实施科学方法，以确保开发的 技术以满足当地需求和优先事项的实际方式到达最终用户。