# Initiation of a global consortium to study the progression of age-related macular degeneration: RIMR AMD consortium report # 1

**Authors:** Srinivas R. Sadda, Charles C. Wykoff, Itay Chowers, Jean-Francois Korobelnik, Raja Narayana, Rajeev R. Pappuru, Frank G. Holz, Robyn Guymer, Chui Ming Gemmy Cheung, David S. Boyer, Michael Ip, Heiko G. Niessen, Nancy Holenkamp, Mary Durbin, Stephanie Magazzeni, Anne-Marie Cairns, Carlos Ciller, Natasa Jovic, Joseph Blair, Sandro De Zanet, Aaron Y. Lee

PMC · DOI: 10.1007/s00417-025-07081-4 · Graefe's Archive for Clinical and Experimental Ophthalmology · 2025-12-29

## TL;DR

A global consortium is created to collect and analyze eye imaging data to better understand and treat age-related macular degeneration.

## Contribution

A novel global collaborative framework for AMD research using harmonized multimodal imaging data and cloud-based AI tools.

## Key findings

- The consortium has collected over 100,000 OCT volumes from more than 5,000 subjects across 7 global cohorts.
- A cloud-based infrastructure harmonizes OCT data and clinical metadata for secure AI-driven analysis.
- The dataset spans a wide range of AMD stages with longitudinal follow-up exceeding 15 years for some subjects.

## Abstract

To describe the design and organizational structure of a global collaborative consortium aimed at aggregating longitudinal multimodal imaging data to better understand the progression of age-related macular degeneration (AMD) and facilitate therapeutic development.

The Ryan Initiative for Macular Research (RIMR) AMD Consortium was established as a nonprofit organization, bringing together academic institutions, biopharmaceutical companies, and imaging technology providers. The consortium collects, de-identifies, and harmonizes longitudinal optical coherence tomography (OCT) data, as well as associated clinical metadata, from multiple international clinical centers using a cloud-based infrastructure. Imaging data is converted and stored in DICOM format, and associated clinical data is mapped to the OMOP Common Data Model. All analyses are conducted within a secure cloud environment, supporting both built-in and member-contributed artificial intelligence (AI) tools.

As of the time of reporting, the Consortium has ingested over 100,000 OCT volumes from more than 5,000 subjects across 7 global cohorts spanning 4 continents and 3 major OCT platforms. Based on information provided by the data providers, the dataset encompasses a wide range of AMD stages, from normal aging to late-stage neovascular or atrophic AMD, with longitudinal follow-up extending beyond 15 years for some subjects. A data harmonization pipeline has been established to convert all ingested OCT data to the DICOM standard and is thus ready for automated analysis to gain disease-related insights.

The RIMR AMD Consortium represents a novel model for global collaboration in AMD research, enabling the pooling and analysis of heterogeneous imaging data while addressing privacy, regulatory, and interoperability challenges. This framework may serve as a model for similar initiatives in other ocular diseases.

## Linked entities

- **Diseases:** age-related macular degeneration (MONDO:0005150)

## Full-text entities

- **Diseases:** ocular diseases (MESH:D005128), AMD (MESH:D008268), neovascular (MESH:D016510)

## Full text

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## Figures

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## References

1 references — full list in the complete paper: https://tomesphere.com/paper/PMC13002685/full.md

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Source: https://tomesphere.com/paper/PMC13002685