Data Science and Medical Image Analysis Training for Improved Health Care Delivery in Nigeria - DATICAN

数据科学和医学图像分析培训以改善尼日利亚的医疗保健服务 - DATICAN

基本信息

批准号：
10719097
负责人：
Adenike Temitayo Adeniji-Sofoluwe
金额：
$ 20万
依托单位：
LAGOS STATE UNIVERSITY TEACHING HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-09-20 至 2026-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10719097
关键词：
Active Learning Africa Africa South of the Sahara African Applications Grants Big Data Biometry Brain Neoplasms Caring Chicago Chronic Chronic lung disease Clinical Communicable Diseases Communities Complement Computerized Medical Record Computers Country Data Data Science Data Scientist Diagnosis Diagnostic Equipment Digital biomarker Disease Doctor of Philosophy Education Elements Enrollment Epilepsy Equilibrium Evaluation FDA approved Faculty Fees Funding Funding Opportunities Generations Goals Grant Growth Health Healthcare Healthcare Systems Human Resources Image Image Analysis Imagery Income Informatics Information Retrieval Infrastructure Interdisciplinary Study Knowledge Laboratories Life Life Expectancy Location Machine Learning Magnetic Resonance Magnetic Resonance Imaging Malaria Malignant Neoplasms Mammography Mathematics Medical Medical Imaging Medical Research Medical Technology Medicine Mentors Mentorship Nigeria Nigerian Organ Output Participant Patients Pattern Persons Physicians Postdoctoral Fellow Productivity Public Health Pythons Radiology Specialty Research Research Personnel Research Training Resource-limited setting Resources Roentgen Rays Scanning Schools Science Scientist Site Source Stroke Teacher Professional Development Technology Training Tuberculosis Universities Visualization Vulnerable Populations Work Writing X-Ray Computed Tomography X-Ray Medical Imaging anatomic imaging biomarker development biomedical imaging care costs care outcomes career career development clinical risk cloud based cloud storage complex data computer science cost data complexity data science education design diagnostic accuracy diagnostic platform diagnostic technologies digital digital imaging education research experience faculty mentor graduate student hackathon health care delivery health care disparity human tissue image processing improved innovation machine learning pipeline member negative affect open data pathology imaging predictive tools professor programs project-based learning public health priorities recruit repository responsible research conduct skill acquisition skills software development statistics symposium translational medicine ultrasound webinar

项目摘要

Medical imaging allows visualisation and understanding of human tissue and internal organs, thereby providing useful information for diagnosis, treatment and patient management. There is a gross shortage of medical image analysts and data scientists in Nigeria. This negatively affects health care delivery. DATa Science and Medical Image Analysis Training for Improved Health CAre Delivery in Nigeria (DATICAN) is a collaborative effort among Lagos State University (LASU), University of Ibadan, and Redeemer University in Nigeria and the University of Chicago (UChicago) in the USA. DATICAN will leverage existing collaborative relationships between UChicago and LASU to provide early-career Nigerian physicians and scientists with a variety of mentored training and experiential learning opportunities. Our research education program focuses on (1) computer science and informatics (2) statistics and mathematics and (c) medical image analysis and public health, thus building capacity in Nigeria for data science and medical image analysis. LASU, ranked among the topmost universities in Nigeria due to its cross-cutting research programs and quality of research output, will be the coordinating center. UChicago, a world-class university known for its emphasis on interdisciplinary research and expertise in translational medicine and data science, will provide access to experienced faculty mentors and training resources. DATICAN will enroll 72 participants, comprising MSc (36), PhD (12), postdocs (12) and junior faculty (12). These graduate students and faculty will each design, develop, and implement a data science project. The projects will concern analysis and information extraction from medical imaging data (e.g., mammogram, ultrasound, MRI and X-ray images) particularly with reference to non-communicable and infectious diseases that are high-priority public health concerns in Nigeria, including cancer, stroke, brain tumor and epilepsy, chronic lung diseases, malaria and tuberculosis. DATICAN will provide support (school fees, stipend, research funds and grants for conference attendance) for program participants, for one to three years, depending on their needs. Participation will center on compulsory, two week-long “hackathons” to be held three times a year, but also include monthly webinar trainings focused on the latest technologies in data science, medical image analysis, image processing, current research in data science and health care related topics; also, funding opportunities, writing grant proposals and scientific articles, grants management, presentation skills, and career development. UChicago will lead the webinar trainings, providing faculty as well as access to technologies and cloud-based resources. We are confident that DATICAN will contribute to sustainable growth of the community of data science experts in Nigeria and sub-Saharan Africa, as the program’s participants branch out and mentor others in their own research communities. Thus, substantial and productive benefits will accrue from our effort, manifesting as increasing numbers of Africans with the knowledge and skills to conduct data-intensive research that will improve the health of vulnerable populations in low resource regions around the globe.

医学成像可以可视化和理解人体组织和内脏器官，从而提供对诊断、治疗和患者管理有用的信息严重缺乏。这对尼日利亚的医疗保健服务产生了负面影响。尼日利亚改善医疗保健服务的图像分析培训 (DATICAN) 是以下机构的共同努力尼日利亚拉各斯州立大学 (LASU)、伊巴丹大学、救世主大学和尼日利亚大学美国芝加哥 (UChicago) DATICAN 将利用 UChicago 之间现有的合作关系。和 LASU 为尼日利亚职业生涯早期医生和科学家提供各种指导培训和我们的研究教育计划侧重于 (1) 计算机科学和信息学（2）统计和数学以及（c）医学图像分析和公共卫生，从而建立 LASU 的数据科学和医学图像分析能力在尼日利亚名列前茅。尼日利亚由于其跨领域的研究计划和研究成果的质量，将成为协调芝加哥大学是一所世界一流的大学，以重视跨学科研究和专业知识而闻名。转化医学和数据科学，将提供经验丰富的教师导师和培训 DATICAN 将招收 72 名参与者，其中包括理学硕士（36 名）、博士（12 名）、博士后（12 名）和初级教师。 (12). 这些研究生和教师将各自设计、开发和实施一个数据科学项目。项目将涉及从医学成像数据（例如乳房X光检查、超声波、MRI 和 X 射线图像），特别是关于非传染性疾病和传染病是尼日利亚高度优先的公共卫生问题，包括癌症、中风、脑肿瘤和癫痫、慢性病 DATICAN 将提供支持（学费、津贴、研究基金）。以及参加会议的补助金），为计划参与者提供一到三年的资助，具体期限取决于他们的需要。参与活动将以强制性的、为期两周的“黑客马拉松”为中心，每年举办三次，但也包括每月一次的网络研讨会培训，重点关注数据科学、医学图像分析、图像处理、数据科学和医疗保健相关主题的当前研究；以及资助机会；撰写资助提案和科学文章、资助管理、演讲技巧和职业发展。芝加哥大学将主导网络研讨会培训，提供教职人员以及技术和基于云的访问权限我们相信 DATICAN 将为数据社区的可持续发展做出贡献。尼日利亚和撒哈拉以南非洲的科学专家，作为该计划参与者的分支和指导因此，我们将从我们的研究社区中获得实质性的、富有成效的利益。努力，表现为越来越多的非洲人拥有进行数据密集型工作的知识和技能将改善全球资源贫乏地区弱势群体健康的研究。