TIGDx
TIGDx, short for Translational Imaging and Genomics Data Exchange, is a proposed framework intended to facilitate interoperability between biomedical imaging data and genomic data. The term is used in discussions of data integration to support research and clinical decision making by enabling combined analysis of radiographic images, molecular profiles, and associated clinical metadata.
Although not universally adopted, TIGDx has been described in scholarly articles and industry forums as a blueprint
Core components include a shared metadata schema, a mapping layer to translate legacy data into the unified
Typical applications include radiogenomics studies, the prediction of treatment response, biomarker discovery, and multi-modal clinical decision
Criticism and challenges include fragmentation among competing data standards, the complexity of heterogeneous datasets, regulatory considerations,
Related topics include radiogenomics, DICOM, FHIR, and data governance.