Computational Omics and Biomedical Informatics Program (COBIP)

计算组学和生物医学信息学计划（COBIP）

• 批准号: 10490403
• 负责人: WILLIAM R HERSH
• 金额: $ 34.48万
• 依托单位: UNIVERSITY OF CAPE TOWN
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-22 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10490403
• 关键词: Address; Africa; African; Applied Research; Artificial Intelligence; Awareness; Biotechnology; Clinical Informatics; Clinical Research; Coupled; Data Science; Data Scientist; Degree program; Development; Diagnostic; Engineering; Faculty; Fostering; Future; Graduate Degree; Health; Health Priorities; Health Sciences; Healthcare; Human; Industry; Informatics; Infrastructure; Institution; Internships; Link; Mathematics; Mining; Multiomic Data; Oregon; Research; Research Personnel; Research Training; Science; South Africa; Students; Teacher Professional Development; Technology; Therapeutic; Training; Training Programs; Translational Research; Universities; big biomedical data; biomedical data science; biomedical imaging; biomedical informatics; burden of illness; career; clinical imaging; cohort; computer science; drug development; ethical legal social implication; global health; improved; innovation; international center; novel strategies; programs; skills; statistics; training opportunity

PROJECT SUMMARY Despite the significant human health and disease burden in Africa, no biomedical data science graduate degree programmes in computational omics, clinical informatics and translational research are offered on the continent. To foster research training that will cultivate graduates able to respond with agility to future biomedical data science needs and develop innovative solutions to address African health challenges, formal interdisciplinary training in biomedical data science is needed. Such training opportunities should include: (i) Biomedical data science applied to data from multi-omics and other technologies, such as biomedical imaging, coupled with the ethical, legal and social Implications of these advances; (ii) Fundamental and advanced concepts in machine intelligence and computational paradigms for developing novel approaches for mining large-scale biomedical data; and (iii) Awareness, amongst graduates, of career opportunities within biomedical data science along with how the soft and hard skills gained in the training program could be transferred into a range of biotechnology/biomedical industries and research/professional careers. Motivated by these needs and leveraging the expertise in clinical and translational research as well as biomedical informatics at Oregon Health & Science University (OHSU), we propose to develop the “Computational Omics and Biomedical Informatics Program” (COBIP) at the University of Cape Town, South Africa. The program will introduce graduate degree programs to train African biomedical data scientists and faculty in rigorous fundamental data science, computational omics, clinical informatics and imaging data science. COBIP will lead to the development of solutions that address the African disease burden and are relevant to global health. Specifically, we aim to: 1) Develop an interdisciplinary data science training program focused on the health and healthcare needs and priorities of Africa; 2) Train faculty with relevant disciplinary backgrounds, from collaborating African institutions, in biomedical data science to support the development of the field across the continent; and 3) Establish COBIP as an international center of excellence in computational omics and biomedical informatics, distributed across African institutions as a collaborative network of faculty, researchers, and students focused on the African health priorities. COBIP will attract cohorts of trainees from diverse backgrounds including mathematics, statistics, informatics, computer sciences, engineering and biomedical sciences. COBIP will provide innovative educational infrastructure and research opportunities as well as links between clinicians, researchers and biomedical industries through placements and internships. COBIP, through its graduates, will have decisive impacts on African biomedical data science research and stimulate diagnostics, therapeutic selection and drug development to support improved human health and healthcare in Africa and globally.

项目摘要 尽管非洲的人类健康和疾病大量燃烧，但没有生物医学数据科学研究生学位 在非洲大陆提供了计算机学，临床信息和翻译研究的计划。 培养将培养毕业生可以敏捷性的研究培训，以对未来的生物医学数据做出反应 科学需求并开发创新的解决方案来应对非洲健康挑战，正式跨学科 需要在生物医学数据科学方面进行培训。这样的培训机会应包括：（i）生物医学数据 科学应用于来自多词和其他技术的数据，例如生物医学成像，再加上 这些进步的道德，法律和社会影响； （ii）机器中的基本和高级概念 智力和计算范例，用于开发开采大规模生物医学的新颖方法 数据; （iii）在毕业生中，意识到生物医学数据科学中的职业机会以及 如何将培训计划中的软技能转移到一系列 生物技术/生物医学行业和研究/职业职业。 受这些需求的动机，并利用临床和翻译研究的专业知识以及生物医学 在俄勒冈健康与科学大学（OHSU）的信息中，我们建议开发“计算法律” 南非开普敦大学的生物医学信息学计划（COBIP）。该计划将 介绍研究生学位课程，以培训非洲生物医学数据科学家和教职员工 基本数据科学，计算法，临床信息和成像数据科学。柯比普将领导 开发解决非洲疾病伯恩的解决方案，与全球健康有关。 具体而言，我们的目标是：1）制定跨学科数据科学培训计划，重点是健康和 非洲的医疗保健需求和优先事项； 2）具有相关学科背景的火车教师 在生物医学数据科学领域协作非洲机构，以支持整个领域的发展 继续; 3）建立Cobip是国际计算绝语卓越中心和 生物医学信息，分布在非洲机构中，是一个教师，研究人员，研究人员的协作网络 学生专注于非洲健康的重点。 Cobip将吸引来自潜水员背景的许多学员，包括数学，统计，信息信息， 计算机科学，工程和生物医学科学。柯比普将提供创新的教育 基础设施和研究机会以及临床医生，研究人员与生物医学之间的联系 通过安置和实习的行业。柯比普通过其毕业生将对 非洲生物医学数据科学研究并刺激诊断，治疗选择和药物开发 支持改善非洲和全球的人类健康和医疗保健。