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通过跨学科培训和研究合作提升一所历史悠久的黑人医学院的数据科学和基因组学能力。

Enhancing Data Science and Genomics Capacity of a Historically Black Medical College Through Interdisciplinary Training and Research Collaborations.

作者信息

Wang Qingguo, Gupta Vibhuti, Cao Aize, Gangula Pandu, Xie Hua, Singh Rajbir, Gary Todd, Adunyah Samuel E, Ramesh Aramandla, Shanker Anil

机构信息

Department of Biochemistry, Cancer Biology, Neuroscience and Pharmacology, School of Medicine, Meharry Medical College, Nashville, TN, USA.

Department of Computer Science and Data Science, School of Applied Computational Sciences, Meharry Medical College, Nashville, TN, USA.

出版信息

J Biotechnol Biomed. 2024;7(4):425-432. doi: 10.26502/jbb.2642-91280166. Epub 2024 Oct 18.

DOI:10.26502/jbb.2642-91280166
PMID:39735691
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11676495/
Abstract

As data grows exponentially across diverse fields, effectively leveraging big data has become increasingly crucial. In data science and computational genomics, however, minority groups, including African Americans, are significantly underrepresented, coupled with the lack of resources and infrastructure in minority-serving institutions. This paper summarizes the second phase of our funded project that aims to enhance the data science capacity of Meharry Medical College (MMC), a Historically Black College/University (HBCU), by providing training and fostering collaborations between data scientists and researchers in basic science and biomedical fields. Using diverse training approaches and formats, we introduced data science and computational genomics to hundreds of MMC researchers and students in the past 2 years. The training modules designed for dental curriculums introduced artificial intelligence and machine learning to ~250 dental students, 80% of which are African Americans (AA). We have also fostered partnerships between data scientists and other MMC researchers for joint publications and grant applications in various areas that impact the health of AA population. The multiple grants awarded recently to MMC clearly indicate an enhanced data science and genomics capacity of MMC and the impact of our work on the local community.

摘要

随着数据在各个领域呈指数级增长,有效利用大数据变得越来越关键。然而,在数据科学和计算基因组学领域,包括非裔美国人在内的少数群体代表性严重不足,同时少数族裔服务机构缺乏资源和基础设施。本文总结了我们获得资助项目的第二阶段,该项目旨在通过提供培训以及促进数据科学家与基础科学和生物医学领域研究人员之间的合作,来提高历史悠久的黑人学院/大学——梅哈里医学院(MMC)的数据科学能力。在过去两年中,我们采用了多种培训方法和形式,向数百名MMC研究人员和学生介绍了数据科学和计算基因组学。为牙科课程设计的培训模块向约250名牙科学生介绍了人工智能和机器学习,其中80%是非裔美国人(AA)。我们还促进了数据科学家与MMC其他研究人员之间的合作,以便在影响非裔美国人健康的各个领域联合发表论文和申请资助。最近授予MMC的多项资助清楚地表明了MMC数据科学和基因组学能力的增强以及我们的工作对当地社区的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92c1/11676495/92d34dd9be23/nihms-2035326-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92c1/11676495/8598dcd3b7cc/nihms-2035326-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92c1/11676495/2a2c7c1869e3/nihms-2035326-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92c1/11676495/92d34dd9be23/nihms-2035326-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92c1/11676495/8598dcd3b7cc/nihms-2035326-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92c1/11676495/2a2c7c1869e3/nihms-2035326-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92c1/11676495/92d34dd9be23/nihms-2035326-f0003.jpg

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A Case Study of Enhancing the Data Science Capacity of an RCMI Program at a Historically Black Medical College.一个强化 RCMI 项目数据科学能力的案例研究:以一所历史悠久的黑人医学院为例。
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6
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