A framework for clinical image-based data integration, harmonisation and interoperability
Aim: Framework for clinical-related datasets; phenotype based patient and disease classification; digital learning health system in hypertrophic cardiomyopathy. Semantic-based rare disease registries for the integration of phenotype and genomic patient datasets.
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The aim of this project is to provide a software framework and e-repository approach for imaging data (so that they can be incorporated into clinical trials or learning health systems) in terms of quality control, standardisation in data collection, interoperability of widely used archiving systems and extensibility of imaging software architectures.