An Integrated Software Platform for Accelerating Image-Driven Ophthalmic Research and Driving New Insights and Endpoints to the Clinic

一个集成软件平台，用于加速图像驱动的眼科研究并为临床带来新的见解和终点

• 批准号: 9908389
• 负责人: Eric L. Buckland
• 金额: $ 74.33万
• 依托单位: TRANSLATIONAL IMAGING INNOVATIONS, INC.
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9908389
• 关键词: Address; Age related macular degeneration; Algorithms; Architecture; Artificial Intelligence; Automobile Driving; Biological Markers; Blindness; Clinic; Clinical; Clinical Research; Collection; Communication; Computer software; Consent; Data; Data Discovery; Data Science; Diabetic Retinopathy; Docking; Economics; Environment; Eye diseases; Foundations; Frustration; Funding; Glaucoma; Goals; Housing; Human Subject Research; Hybrids; Image; Imaging Device; Imaging technology; Influentials; Intervention; Investigation; Knowledge; Libraries; Mosaicism; Ontology; Ophthalmology; Ophthalmoscopy; Optical Coherence Tomography; Patients; Phase; Policies; Prevalence; Process; Reader; Research; Research Subjects; Savings; Science; Site; Small Business Innovation Research Grant; Speed; Strategic Planning; Structure; System; Technology; Translating; Translations; United States National Institutes of Health; Validation; Vision; Wisconsin; adaptive optics; algorithm development; algorithm training; application programming interface; biomarker development; biomarker discovery; clinical translation; cost; data access; data exchange; data integration; data sharing; data warehouse; deep learning; design; efficacy testing; experience; fighting; image processing; image reconstruction; imaging modality; imaging platform; imaging program; improved; innovation; insight; medical schools; microsystems; ocular imaging; process repeatability; programs; repository; retinal imaging; safety testing; software systems; structured data; tool; verification and validation; vision science

ABSTRACT More than 20 million patients suffer from age-related macular degeneration, diabetic retinopathy, or glaucoma. These degenerative eye diseases develop over decades, and their prevalence is increasing. Retinal imaging technologies such as optical coherence tomography and adaptive optics ophthalmoscopy are essential tools in the investigation and management of eye disease. New quantitative biomarkers derived from these and other imaging modalities are critical to the clinical translation of emerging ophthalmic innovations. However, biomarker development in the era of artificial intelligence requires large volumes of annotated images and transparent, reproducible processes, which places new demands on the management of living subjects research, data sharing, and algorithm development. Unfortunately, current software platforms are not effective in integrating these data in a manner that meets specific requirements in ophthalmology, Our goal in this Direct-to-Phase II SBIR, consistent with objectives of the NIH Strategic Plan for Data Science, is to create an integrated platform (PaaS) for the collection, curation, analysis, and sharing of ocular images and data. We will extend the capabilities of systems developed by the Advanced Ocular Imaging Program (AOIP), Medical College of Wisconsin (MCW), which include: (a) LATTICE - a software solution that reduces costs, reduces errors, and improves communications in the management of living-subjects research; (b) MOSAIC - an image processing platform and algorithm library with traditional and AI-trained algorithms; and (c) The AOIP Image Bank - a Repository that houses images and data on 1578 fully-consent human research subjects. To create the integrative platform, we will address four aims: (a) Extend LATTICE to meet the workflow requirements of academic and sponsored research in local and multisite environments, including the extensible direct integration of data relevant to ocular studies; (b) Design and implement a hybrid (local + cloud) REPOSITORY architecture, data schema, knowledge ontology, and query architecture for Owners and Readers of data.; (c) Integrate and demonstrate LATTICE, REPOSITORY and MOSAIC into a continuous ocular science workflow and (d) integrate and demonstrate Lattice, Repository and Mosaic into a continuous ocular science workflow. Our Integrated Translational Imaging platform will enable ophthalmic innovators to translate sight-saving insights and interventions to the clinic faster, with less frustration, and greater confidence. Our proposal fills an important technology gap in the field of ophthalmic data science and biomarker development. While the number and type of imaging devices continues to grow, the tools to develop and deploy new biomarkers and clinical endpoints using these exquisite imaging devices has not kept pace. With this program we will enable a new generation of image-driven innovation to find its way to the clinic.

摘要