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: 10319196
• 负责人: WILLIAM R HERSH
• 金额: $ 34.62万
• 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/10319196
• 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; bioimaging; biomedical data science; 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.

项目概要 尽管非洲面临着巨大的人类健康和疾病负担，但没有生物医学数据科学研究生学位 非洲大陆提供计算组学、临床信息学和转化研究方面的课程。 促进研究培训，培养能够灵活应对未来生物医学数据的毕业生 科学需求并开发创新解决方案来应对非洲健康挑战，正式的跨学科 需要生物医学数据科学方面的培训。此类培训机会应包括： (i) 生物医学数据 科学应用于来自多组学和其他技术（例如生物医学成像）的数据，再加上 这些进步的伦理、法律和社会影响； (ii) 机器的基本和先进概念 用于开发大规模生物医学挖掘新方法的智能和计算范式 数据; (iii) 毕业生对生物医学数据科学领域职业机会的认识以及 如何将培训计划中获得的软技能和硬技能转化为一系列 生物技术/生物医学行业和研究/专业职业。 受这些需求的推动，并利用临床和转化研究以及生物医学方面的专业知识 在俄勒冈健康与科学大学（OHSU）的信息学领域，我们建议开发“计算组学” 和生物医学信息学项目”（COBIP）在南非开普敦大学。该项目将 引入研究生学位课程，以严格的方式培训非洲生物医学数据科学家和教师 基础数据科学、计算组学、临床信息学和成像数据科学。 COBIP 将引领 制定解决非洲疾病负担并与全球健康相关的解决方案。 具体来说，我们的目标是： 1）开发一个跨学科的数据科学培训计划，重点关注健康和 非洲的医疗保健需求和优先事项； 2）培养具有相关学科背景的教师，从 与非洲机构在生物医学数据科学领域合作，支持该领域在整个领域的发展 大陆; 3) 将 COBIP 建立为计算组学领域的国际卓越中心 生物医学信息学，作为教师、研究人员、 和学生关注非洲的卫生优先事项。 COBIP 将吸引来自不同背景的学员，包括数学、统计学、信息学、 计算机科学、工程和生物医学科学。 COBIP将提供创新的教育 基础设施和研究机会以及临床医生、研究人员和生物医学之间的联系 通过实习和实习等方式进入行业。 COBIP 通过其毕业生将对以下领域产生决定性影响： 非洲生物医学数据科学研究并促进诊断、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。