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

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。意义重大。数据科学为撒哈拉以南地区带来了巨大的希望 然而，研究能力和适当的培训是有限的。医学图像尤其令人兴奋 在这种环境下的数据科学，因为他们有能力促进医疗保健干部之间的护理提供。努力实现 将通过数据科学获得的知识转化为改进的临床护理可以通过 实施科学。多学科、多机构的战略性伙伴关系将是 数据科学对非洲解决方案的发展和最终影响。创新。这项建议是 创新之处在于：1)将数据科学与医学图像结合使用，以推进临床护理；2)整合 数据科学与实施科学相结合，促进临床影响。接近。姆巴拉拉大学的数据 乌干达的科学研究中心(MUDSReH)将使用多种技术来改善对 并使用关键的数据科学方法，如机器学习和人工智能，以 扩大它们在撒哈拉以南非洲的利用。通过实施将加强临床影响 科学的方法。将为数据科学和实施科学提供正式培训，以及 将通过区域首脑会议和协作促进正在进行的扩大努力。两个字母的首字母 研究项目-优化后眼底成像以诊断眼后节疾病和移动- 基于手机的宫颈图像用于检测癌症-将与眼科医生学院合作 位于肯尼亚的东部、中部和南部非洲大学和夸梅·恩克鲁马科学与技术大学 分别是在加纳的技术。麻省理工学院将为 数据管理和分析，马萨诸塞州总医院将支持使用 个人研究项目的科学和其他相关内容领域。每个项目都将与当地政府合作 卫生部、社区组织和/或技术合作伙伴，以推进 利用医学图像改善临床结果和影响。我们的具体目标如下： 1.整合所有合作的学术机构、科技公司和非政府组织 推动医学成像数据科学的组织。所有合作伙伴都将为共同的 用于数据处理和分析的基础设施。我们将建立行政和技术两方面的 数据交换机制，对必要的数据安全和质量保证和控制进行核算。 我们将进一步创造便利扩展的途径，将更多的研究项目包括在内 多个非洲机构的医学成像(如放射学和皮肤科)。 2.将实施科学与数据科学相结合，提高临床效果。所有研究 MUDSReH的项目将包括实施科学方法，以确保制定 技术以符合当地需求和优先事项的实际方式接触到最终用户。