Data Harmonization, Standardization, and Collaboration for Diabetic Retinal Disease (DRD) Research: Report From the 2024 Mary Tyler Moore Vision Initiative Workshop on Data

• DOI: 10.1167/tvst.13.10.4
• Publication Date: 2024-10-03T15:31:09Z
• Authors: Amitha Domalpally; Ward Fickweiler; S. Robert Levine; Kerry E. Goetz; Brian L. VanderBeek; Aaron Lee; Jeffrey M. Sundstrom; Dorene Markel; Jennifer K. Sun
• Keywords: Harmonization; Data Sharing; Research Data

The 2024 Mary Tyler Moore Vision Initiative (MTM Vision) Workshop on Data convened to discuss best practices and specific considerations for building a comprehensive, shareable MTM data lake. workshop aimed accelerate the development of new indications, therapies, regulatory pathways diabetic retinal disease (DRD) by standardizing harmonizing clinical ocular 'omics analyses. Standardization collection, use common elements, interoperability were emphasized, alongside federated learning approaches promote sharing collaboration while maintaining privacy security. integration molecular with other multimodal types was recognized as promising strategy leveraging machine AI advancing therapeutics improving treatment outcomes DRD patients. Partnerships entities such National Eye Institute, part Institutes Health, foundations, industry deemed vital successful implementation these initiatives.