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

医学成像允许可视化和理解人体组织和内部器官，从而提供 诊断、治疗和病人管理的有用信息。医学影像严重短缺 尼日利亚的分析师和数据科学家。这对保健服务的提供产生了负面影响。DATa科学与医学 尼日利亚改善医疗保健服务的图像分析培训（DATICAN）是一项合作努力， 尼日利亚的拉各斯州立大学、伊巴丹大学和救世主大学以及 美国的芝加哥（U芝加哥）。DATICAN将利用UChicago之间现有的合作关系 和LASU为尼日利亚早期职业医生和科学家提供各种指导培训， 体验式学习机会。我们的研究教育计划侧重于（1）计算机科学和 信息学（2）统计学和数学以及（c）医学图像分析和公共卫生，从而建立 尼日利亚的数据科学和医学图像分析能力。LASU，跻身顶尖大学之列 在尼日利亚，由于其跨领域的研究计划和研究成果的质量，将是协调 中心芝加哥大学是一所世界一流的大学，以其强调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 资源DATICAN将招收72名参与者，包括硕士（36），博士（12），博士后（12）和初级教师 （十二）、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。的 项目将涉及从医学成像数据中的分析和信息提取（例如，乳房X光检查， 超声、磁共振成像和X光图像），特别是在非传染性和传染性疾病方面， 是尼日利亚高度优先的公共卫生问题，包括癌症、中风、脑瘤和癫痫、慢性 肺病、疟疾和肺结核。DATICAN将提供支持（学费、津贴、研究基金 以及出席会议的赠款），根据参与者的需要，为期一至三年。 参与将集中在强制性的，为期两周的“黑客松”，每年举行三次，但也 包括每月的网络研讨会培训，重点是数据科学，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;此外，资助机会， 撰写资助申请和科学文章，赠款管理，演讲技巧和职业发展。 芝加哥大学将领导网络研讨会培训，提供教师以及访问技术和基于云的 资源我们相信，DATICAN将有助于数据社区的可持续发展 尼日利亚和撒哈拉以南非洲的科学专家，作为该计划的参与者的分支和导师 其他人在他们自己的研究社区。因此，我们将获得大量的生产性利益， 努力，表现为越来越多的非洲人拥有进行数据密集型活动的知识和技能， 研究将改善地球仪低资源地区弱势群体的健康。

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.