Core C. Image Analysis and Data Science (IADS)

核心 C. 图像分析和数据科学 (IADS)

• 批准号: 10707334
• 负责人: Nathan Doble
• 金额: $ 17.81万
• 依托单位: OHIO 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: 2022-09-30 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10707334
• 关键词: Address; Architecture; Arts; Biological Sciences; Blindness; Clinical Research; Collaborations; Communities; Computers; Consultations; Data; Data Commons; Data Engineering; Data Science; Data Science Core; Data Set; Development; Electronic Health Record; Engineering; Ensure; Environment; Equipment; Eye diseases; Faculty; Funding; Future; Goals; Guidelines; Health Services; Healthcare; High Performance Computing; Image; Image Analysis; Individual; Institution; Institutional Review Boards; Leadership; Letters; Machine Learning; Medicine; Methods; Modeling; Neurosciences; Ohio; Ophthalmology; Optometry; Outcome; Pediatric Hospitals; Pediatrics; Protocols documentation; Psychology; Research; Research Personnel; Resources; Rest; Science; Scientist; Services; Software Engineering; Surveys; System; Technology; Thinking; Training; Universities; Veterinary Medicine; Vision; Vision research; Visualization; Work; artificial intelligence algorithm; clinical translation; cluster computing; college; computer science; cost; data mining; data repository; electronic health data; equipment acquisition; high standard; image processing; implementation science; innovation; large datasets; meetings; member; prevent; programs; response; sight restoration; supercomputer; synergism; vision science

Abstract: CORE C, IMAGE ANALYSIS AND DATA SCIENCE (IADS) The Ohio State University Vision Sciences Research Core Program (OSU-VSRCP) has established scientific connections and collaborations among the expanding vision research communities across five academic units (i.e., College of Medicine (COM), College of Optometry (COO), College of Engineering (COE), College of Veterinary Medicine, College of Arts and Sciences) and newly engaged Nationwide Children’s Hospital (NCH). Our community of vision scientists spans research from ophthalmology, optometry, neuroscience, engineering, veterinary ophthalmology, psychology, and pediatrics. Synergy among this diverse community has been established by monthly seminars called ViSOR (Vision Sciences OSU Research). Program Director (PD) Dr. Moroi has commitment from Deans and Chairs to purchase equipment, support data science, assign scarce space, increase collaborations among NEI-funded PIs, and pilot programs for preliminary data. The COM subsidizes cost for access to the High-Performance Computing Cluster (HPCC) that is maintained by the Ohio Supercomputer Center (OSC), which is relevant for Core C. The leadership and vision scientists are aligned with the NEI PAR-20-051 ‘to enhance the capabilities of participating NEI-funded investigators and the institution for conducting vision research.’ Three scientific Cores were determined from a survey of 61 vision scientists. Each Core has a Director and Co-director, with at least one of the leaders holding an NEI R01. Core C, Image Analysis and Data Science (IADS) Core was re-organized to provide services to aid in image processing and analysis within four domains of data science (i.e., data strategy, data engineering, analysis & models, and visualization & operationalization) and in a data commons architecture. Current research in healthcare and life sciences is data intensive and requires application of computer science technologies to analyze imaging data, diverse ‘-omics’ data, and data from electronic health records (EHR). The IADS Core was established in response to investigators’ needs for image processing and analysis, modeling, and mining data from EHR. There are two Core leaders: Director Dr. Nathan Doble, COO, and Co-director Dr. Srinivasan Parthasarathy, Dept Computer Science and Engineering, COE. IADS Core goals are described in two Aims: Aim 1. Image Processing and Data Science Services and Aim 2. Development of a Data Commons Architecture. This Core will leverage access to established OSU resources, such as the Translational Data and Analytics Institute (TDAI) and the Center for the Advancement of Team Science, Analytics Systems Thinking in Health Services and Implementation Science Research (CATALYST). Computer resources will be shared by Core C leaders with availability of OSUCOM’s access to the HPCC maintained by the OSC. The expected outcome is increased collaboration for successful new proposals with the shared overarching vision to prevent blindness, restore vision and develop cures for eye diseases.

翻译后摘要：核心C，图像分析和数据科学（IADS） 俄亥俄州州立大学视觉科学研究核心计划（OSU-VSRCP）已经建立了科学的 在五个学术单位不断扩大的视觉研究社区之间的联系和合作 (i.e.,医学院（COM），视光学学院（COO），工程学院（COE）， 兽医，艺术和科学学院）和新聘请的全国儿童医院（NCH）。 我们的视觉科学家社区涵盖眼科，验光，神经科学，工程， 兽医眼科心理学和儿科学这个多元化的社区之间的协同作用一直是 由每月的研讨会称为ViSOR（视觉科学OSU研究）。项目总监（PD）博士 Moroi从院长和主席那里获得了购买设备、支持数据科学、分配稀缺资源的承诺。 空间，增加NEI资助的PI之间的合作，以及初步数据的试点计划。的COM 为访问由俄亥俄州维护的高性能计算集群（HPCC）提供补贴 超级计算机中心（OSC），与Core C相关。领导力和愿景科学家是一致的 与NEI PAR-20-051“，以提高参与NEI资助的研究人员的能力， 进行视觉研究的机构。通过对61例视力的调查，确定了三个科学核心 科学家每个核心都有一个董事和联合董事，其中至少有一个领导人持有NEI R 01。核心 C、图像分析和数据科学（IADS）核心进行了重组，以提供服务， 数据科学的四个领域内的处理和分析（即，数据战略、数据工程、分析和 模型、可视化和操作化）以及数据共享架构。古物学当代研究 医疗保健和生命科学是数据密集型的，需要应用计算机科学技术， 分析成像数据、各种“组学”数据和来自电子健康记录（EHR）的数据。IADS核心 是为了满足研究人员对图像处理和分析、建模和挖掘的需求而建立的 来自EHR的数据有两个核心领导人：主任博士内森多布尔，首席运营官，和联合主任博士斯里尼瓦桑 计算机科学与工程系，COE。IADS核心目标分为两个目标： 目标1.图像处理和数据科学服务和目标2。建立数据共享区 架构该核心将利用对已建立的OSU资源的访问，例如翻译数据 和分析研究所（TDAI）以及分析系统团队科学促进中心 健康服务和实施科学研究的思考（催化剂）。计算机资源将 由核心C领导人共享，OSUCOM可以访问由OSC维护的HPCC。的 预期成果是加强合作，以成功提出具有共同总体愿景的新提案 预防失明、恢复视力和开发治疗眼疾的方法。