Our OMOP database supports multimodal data integration with the OMOP common data model (CDM) format. The database contains data curated for a large-scale multimodal AI project focused on chronic kidney disease trajectory prediction.
The database enables researchers and clinicians to:
- Integrate structured EHR data, clinical text, radiology features, histology features, and spatial omics features into a single standardized schema
- Harmonize heterogenous, multimodal clinical data for consistent and large-scale analysis
- Leverage AI-ready, multimodal data to develop and train predictive models for clinical decision-making
- Visit our OMOP database