Interdisciplinary Health Equity Research (IHER) Center

跨学科健康公平研究（IHER）中心

• 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
• 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

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数据科学研究与教育中心 概括 加强DSU的数据科学研究和教育能力，这是历史上的 - 黑人小学的本科机构将促进多样性，促进创新，促进 协作，并激发子孙后代。该项目将利用我们的RCMI资助 跨学科健康公平研究（IHER）中心，以支持更具包容性和公平的发展 利用潜水员背景的个人的才能和观点的数据科学界。我们的 项目的重点是目标＃2-基础架构的发展，以支持数据科学研究，教育和 训练。我们的项目将支持DSU的新雇用教师，而我们的DNA测序核心设施高 性能计算（HPC）系统，以启用涉及深度学习，神经的生物医学研究应用 网络和大数据处理。 HPC系统中的GPU（图形处理单元）设计用于并行 处理并且在执行数学计算方面高效。他们在诸如矩阵操作之类的任务上表现出色 和深度学习算法，这些算法通常用于数据科学研究。拥有GPU系统可以更快地启用 计算和培训机器学习模型，减少了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，例如通过加速数据来进行基因组学中发现的研究 预处理，功能提取和模型培训，使与大规模数据集有效地工作变得更加容易。 我们IHER中心的研究人员开发核心将赞助研讨会和培训以增强数据 - 相关的技能和知识，吸引有趣的知识并建立对教师和其他研究人员的信心。培训学生 为了通过PI/学生参与DSU数据科学研究和 教育枢纽，我们将链接到DRS开发的NSF研究训练计划。蔡斯·斯特拉顿（DSU） 和盖尔·罗森（Gail Rosen）（Drexel） - “ nrt-ai：特拉华山谷中的训练 生物系统（AI-DEV4BIO）。”该计划支持研究生的一年数据科学奖学金， 并将在DSU建立数据科学证书，该证书链接到Drexel的现有程序，并包括 在两个校园的生物医学研究生共同使用新课程的开发。证书 课程将与学生的研究生课程集成，并为他们提供所需的技能和知识 将数据科学纳入其论文或论文项目中。 我们的项目还将提供基础架构和专业知识，以操作，管理和维护我们的HPC系统 高性能计算系统具有特定的功率和冷却​​要求，需要高速且可靠 网络基础架构。此外，管理和维护HPC系统需要一系列专业知识。我们的 项目将确保HPC集群的实验室空间具有足够的基础架构，我们将招募HPC 系统管理员处理硬件管理，网络管理，存储管理，故障拍摄 以及解决问题的问题，以及保持HPC群集运行所需的文档和通信任务。

项目成果

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: 10.1117/1.jmi.10.4.044001
• 发表时间: 2023
• 期刊: Journal of medical imaging (Bellingham, Wash.)
• 作者: Yang,Qi;Yu,Xin;Lee,HoHin;Cai,LeonY;Xu,Kaiwen;Bao,Shunxing;Huo,Yuankai;Moore,AnnZenobia;Makrogiannis,Sokratis;Ferrucci,Luigi;Landman,BennettA
• 通讯作者: Landman,BennettA

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

• DOI: 10.32481/djph.2023.06.010
• 发表时间: 2023-06
• 期刊: Delaware journal of public health
• 作者: Dillard D;Mers B;MCRP2
• 通讯作者: MCRP2

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

• DOI: 10.3390/polym15112429
• 发表时间: 2023-05-23
• 期刊: Polymers
• 影响因子: 5
• 作者: Abousamra WH;Thomas D;Yang D;Islam SM;Winstead C;Kim YG
• 通讯作者: Kim YG

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

• DOI: 10.1128/spectrum.03536-23
• 发表时间: 2024-02
• 期刊: Microbiology Spectrum
• 影响因子: 3.7
• 作者: Chanelle L. Acheamfour;Salina Parveen;Alan Gutierrez;Eric T. Handy;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