Computational Ophthalmology and Biomedical Informatics

计算眼科和生物医学信息学

基本信息

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
项目类别：
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

项目摘要

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.

抽象的计算眼科和生物医学信息学核心计算眼科和生物医学信息学核心提供高性能计算为UCSD视觉研究人员完成资源和最先进的定制计算机编程细胞，动物和人类视力研究。视力研究的数据分析要求由于高分辨率视网膜成像数据集成为标准，社区正在成倍增加基因组学研究利用外显子组和整个基因组测序，以及广泛的数字化医疗保健和电子健康记录（EHR）和其他健康信息技术工具的采用已经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Web服务云的数据管理管道，自定义软件工具以及此核心提供的EHR数据提取和分析服务这些大数据集的分析。计算眼科和生物医学信息学核心也支持多个计算数据科学家，具有图像分析和信号处理方面的专业知识专业知识，大数据分析，人工智能（AI）/机器学习（ML），关系数据库和自然语言处理以支持基础科学和临床视觉的计算分析研究项目。此外，必需的IT服务（例如自动场外备份）安全的文件共享和机构软件许可（FileMakerPro，GitHub，Freezerpro）由 UCSD视觉研究的计算眼科和生物医学信息学核心社区。