Interdisciplinary Health Equity Research (IHER) Center

跨学科健康公平研究（IHER）中心

基本信息

批准号：
10872525
负责人：
Sangeeta Gupta
金额：
$ 26.75万
依托单位：
DELAWARE STATE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-20 至 2027-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10872525
关键词：
Administrator Advocacy Big Data Biomedical Research Black race Collaborations Communication Communities Computer Systems Core Facility DNA sequencing Data Data Science Data Set Delaware Development Documentation Education Educational Curriculum Educational workshop Ensure Equity Faculty Fellowship Fostering Funding Future Generations Genomics High Performance Computing Historically Black Colleges and Universities Individual Influentials Infrastructure Institution Joints Knowledge Link Mathematics Modeling Network Infrastructure Policies Problem Solving Public Health Research Research Personnel Research Support Speed Students System Talents Time Traineeship Training Work biological systems certificate program cluster computing community engagement computerized data processing deep learning algorithm deep neural network design empowerment feature extraction graduate student health equity improved infrastructure development innovation interest large datasets machine learning model novel operation parallel processing programs recruit skills student participation student training undergraduate student underserved community

项目摘要

Interdisciplinary Health Equity Research (IHER) Center DSU Data Science Research and Education Hub Summary Strengthening the data science research and education capacity at DSU, a Historically- Black, primarily undergraduate institution will promote diversity, foster innovation, facilitate collaboration, and inspire future generations. This project will leverage our RCMI-funded Interdisciplinary Health Equity Research (IHER) Center to support the development of a more inclusive and equitable data science community that leverages the talents and perspectives of individuals from diverse backgrounds. Our project is focused on Objective #2 - the development of infrastructure to support data science research, education, and training. Our project will support newly hired faculty at DSU, and our DNA sequencing core facility with a high performance computing (HPC) system to enable biomedical research applications involving deep learning, neural networks and big data processing. GPUs (Graphics Processing Units) in HPC systems are designed for parallel processing and are highly efficient in performing mathematical computations. They excel at tasks like matrix operations and deep learning algorithms, which are commonly used in data science research. Having a GPU system enables faster computation and training of machine learning models, reducing the time required for experimentation and analysis. The system will also support research with large datasets, such as those found in genomics by speeding up data preprocessing, feature extraction, and model training, making it easier to work with massive datasets efficiently. The Investigator Development Core of our IHER Center will sponsor workshops and training to enhance data- relevant skills and knowledge, engage interest and build confidence in faculty and other researchers. To train students for the novel research that will emerge through PI/student engagement in the DSU Data Science Research and Education Hub, we will link to a joint NSF Research Traineeship Program developed by Drs. Chase Stratton (DSU) and Gail Rosen (Drexel) – “NRT-AI: AI-training in the Delaware Valley for Understanding and Manipulating Biological Systems (AI-DeV4BIO).” The program supports one year Data Science Fellowships for graduate students, and will establish a certificate in data science at DSU that links to an existing program at Drexel, and includes the development of new courses jointly available to biomedical graduate students on both campuses. The certificate program will integrate with students’ graduate curriculum and provide them with the skills and knowledge needed to incorporate data science into their thesis or dissertation projects. Our project will also provide the infrastructure and expertise to operate, manage, and maintain our HPC system High-performance computing systems have specific power and cooling requirements and need high-speed and reliable networking infrastructure. In addition, managing and maintaining an HPC system requires a range of expertise. Our project will ensure that the lab space for the HPC cluster has adequate infrastructure, and we will recruit an HPC System administrator to handle hardware management, network administration, storage management, trouble shooting and problem solving, as well as the documentation and communication tasks needed to keep our HPC cluster operating.

跨学科健康公平研究（IHER）中心 DSU 数据科学研究和教育中心概括加强 DSU 的数据科学研究和教育能力黑人，主要是本科院校将促进多样性，促进创新，促进该项目将利用我们的 RCMI 资助。跨学科健康公平研究（IHER）中心支持发展更具包容性和公平性数据科学社区充分利用来自不同背景的个人的才能和观点。项目的重点是目标#2——开发基础设施以支持数据科学研究、教育和我们的项目将为 DSU 新聘用的教员和我们的 DNA 测序核心设施提供高水平的支持。高性能计算 (HPC) 系统，支持涉及深度学习、神经网络的生物医学研究应用 HPC 系统中的网络和大数据处理是为并行设计的。他们擅长处理矩阵运算等任务，并且在执行数学计算方面非常高效。数据科学研究中常用的深度学习算法可以通过 GPU 系统实现更快的速度。机器学习模型的计算和训练，减少实验和分析所需的时间。该系统还将支持大型数据集的研究，例如通过加速数据在基因组学中发现的数据集预处理、特征提取和模型训练，让高效处理海量数据变得更加轻松。我们 IHER 中心的研究者发展核心将赞助研讨会和培训，以增强数据- 培养学生的相关技能和知识，激发教师和其他研究人员的兴趣并建立信心。通过 PI/学生参与 DSU 数据科学研究而出现的新颖研究，以及教育中心，我们将链接到由 Chase Stratton (DSU) 博士开发的联合 NSF 研究培训计划。和盖尔·罗森 (Drexel) –“NRT-AI：特拉华谷的人工智能培训，旨在理解和操纵生物系统（AI-DeV4BIO）。该计划为研究生提供一年的数据科学奖学金，并将在 DSU 建立数据科学证书，该证书与德雷克塞尔大学的现有项目相链接，包括为两个校区的生物医学研究生联合开发新课程证书。该计划将与学生的研究生课程相结合，并为他们提供所需的技能和知识将数据科学纳入他们的论文或论文项目中。我们的项目还将提供运营、管理和维护 HPC 系统的基础设施和专业知识高性能计算系统具有特定的电源和冷却要求，需要高速且可靠此外，管理和维护 HPC 系统需要我们的一系列专业知识。项目将确保HPC集群的实验室空间拥有足够的基础设施，我们将招募一名HPC 系统管理员处理硬件管理、网络管理、存储管理、故障排除和解决问题，以及保持 HPC 集群运行所需的文档和通信任务。

项目成果

期刊论文数量（4）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Single slice thigh CT muscle group segmentation with domain adaptation and self-training.

具有域适应和自我训练的单层大腿 CT 肌肉群分割。

DOI：
发表时间：
2023-07
期刊：
影响因子：
0
作者：
Yang, Qi;Yu, Xin;Lee, Ho Hin;Cai, Leon Y;Xu, Kaiwen;Bao, Shunxing;Huo, Yuankai;Moore, Ann Zenobia;Makrogiannis, Sokratis;Ferrucci, Luigi;Landman, Bennett A
通讯作者：
Landman, Bennett A

Considering the Benefits Cliff Embedded in the Relationship between Housing and Health.

考虑住房与健康之间关系中嵌入的福利悬崖。

DOI：
发表时间：
2023-06
期刊：
影响因子：
0
作者：
Dillard, Dorothy;Mers, Bianca;MCRP2
通讯作者：
MCRP2

Detection of Salmonella enterica and Listeria monocytogenes in alternative irrigation water by culture and qPCR-based methods in the Mid-Atlantic U.S.

在美国大西洋中部地区，通过培养和基于 qPCR 的方法检测替代灌溉水中的肠道沙门氏菌和单核细胞增生李斯特氏菌

DOI：
10.1128/spectrum.03536-23
发表时间：
2024-02-20
期刊：
Microbiology Spectrum
影响因子：
3.7
作者：
Chanelle L. Acheamfour;Salina Parveen;Alan Gutierrez;Eric T. H;y;y;Sara Behal;Donghyun Kim;Seongyun Kim;Cheryl L. East;Ray Xiong;Joseph Haymaker;S. Micallef;Rachel E. Rosenberg Goldstein;K. Kniel;Amy R. Sapkota;Fawzy Hashem;Manan Sharma
通讯作者：
Manan Sharma

Synthesis and Characterization of the Donor-Acceptor Conjugated Polymer PBDB-T Implementing Group IV Element Germanium.

使用第 IV 族元素锗的供体-受体共轭聚合物 PBDB-T 的合成和表征。