Computational Ophthalmology and Biomedical Informatics

计算眼科和生物医学信息学

• 批准号: 10709404
• 负责人: LINDA M ZANGWILL
• 金额: $ 13.75万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2028-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10709404
• 关键词: Address; Adoption; Age related macular degeneration; Angiography; Animals; Artificial Intelligence; Basic Science; Big Data Methods; Center Core Grants; Clinical; Clinical Data; Clinical Informatics; Clinical Research; Collaborations; Communities; Computer Analysis; Computer software; Custom; Data; Data Analyses; Data Scientist; Data Set; Database Management Systems; Diabetic Retinopathy; Electronic Health Record; Eye diseases; Genomics; Glaucoma; Health Insurance Portability and Accountability Act; Healthcare; High Performance Computing; Histopathology; Human; Image Analysis; Imaging Device; Institution; Libraries; Licensing; Machine Learning; Natural Language Processing; Ophthalmology; Optical Coherence Tomography; Research; Research Personnel; Research Project Grants; Resolution; Resources; Secure; Services; Site; Software Tools; Source; System; Vision; Vision research; biomedical informatics; cloud based; computer program; computing resources; data management; electronic health record system; exome; genome sequencing; health information technology; improved; informatics tool; instrument; large datasets; relational database; research study; retinal imaging; signal processing; structural imaging; supercomputer; tool; web services; whole genome

ABSTRACT Computational Ophthalmology and Biomedical Informatics Core The Computational Ophthalmology and Biomedical Informatics Core provides high-performance computing resources and state-of-the-art custom computer programming to UCSD vision researchers completing cellular, animal, and human vision research studies. The data analysis requirements of the vision research community are increasing exponentially as high-resolution retinal imaging datasets become the standard, genomics research utilizes exome and whole genome sequencing, and the widespread digitization of healthcare and adoption of electronic health records (EHRs) and other health information technology tools have expanded the volume of clinical data. The powerful GPU computational condo clusters managed by the San Diego Supercomputer Center, an Amazon Web Services cloud-based data management pipeline, custom software tools, and EHR data extraction and analysis services provided by this core facilitate analysis of these large datasets. The Computational Ophthalmology and Biomedical Informatics core also supports multiple computational data scientists with expertise in image analysis and signal processing expertise, big-data analytics, artificial intelligence (AI)/machine learning (ML), relational databases, and natural language processing to support computational analyses of both basic science and clinical vision research projects. In addition, essential IT services such as automated off-site backup, fileservers for secure file-sharing and institutional software licenses (FilemakerPro, Github, FreezerPro) are provided by the Computational Ophthalmology and Biomedical Informatics Core to the UCSD vision research community.

摘要 计算眼科学和生物医学信息学核心 计算眼科学和生物医学信息学核心提供高性能计算 资源和最先进的定制计算机编程，以UCSD视觉研究人员完成 细胞、动物和人类视觉研究。视觉研究的数据分析需求 随着高分辨率视网膜成像数据集成为标准， 基因组学研究利用外显子组和全基因组测序， 医疗保健和采用电子健康记录（EHR）和其他健康信息技术工具 扩大了临床数据的数量。强大的GPU计算公寓集群由 圣地亚哥超级计算机中心，一个基于亚马逊网络服务云的数据管理管道， 自定义软件工具和EHR数据提取和分析服务提供了这个核心， 分析这些大数据。计算眼科学和生物医学信息学核心还 支持多位具有图像分析和信号处理专业知识的计算数据科学家 专业知识，大数据分析，人工智能（AI）/机器学习（ML），关系数据库，以及 支持基础科学和临床视觉计算分析的自然语言处理 研究项目。此外，自动化异地备份、文件服务器等基本IT服务 安全的文件共享和机构软件许可证（FilemakerPro，Github，FreezerPro）由 UCSD视觉研究的计算眼科学和生物医学信息学核心 社区