A Generic Data Model for Precision Medicine Applied to Rare Genetic Epilepsy
Introduction: Understanding disease development increasingly relies on integrating diverse data sources, such as care records, cohort data, and genetic information. This integration reveals complex links between disease onset and progression, making the digital representation of multimodal data essential. [for full text, please go to the a.m. URL]
Authors
- Myriam Lipprandt (ORCID: https://orcid.org/0000-0001-9371-0551)
- Philipp Honrath (ORCID: https://orcid.org/0000-0001-8763-4871)
- Stefan Wolking (ORCID: https://orcid.org/0000-0002-1460-6623)
- Nils Freyer (ORCID: https://orcid.org/0000-0002-4460-3650)
- Beatrice Coldewey (ORCID: https://orcid.org/0000-0001-9564-9467)
- Susann A. Bozkir
- Ariadna Pérez Garriga
- Yvonne Weber
- Patrick May
- Rainer Röhrig
Institutions
- University of Luxembourg (LU)
- Universitätsklinikum Aachen (DE)
- RWTH Aachen University (DE)
Publication Details
- Journal
- German Medical Science (German Research Foundation)
- Published
- 2026-04-01
- DOI
- https://doi.org/10.3205/25gmds190
- Primary Topic
- Genomics and Rare Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00