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The Digital Atlas of Ancient Rare Diseases (DAARD) and its relevance for current research.

Julia GreskyMelina FrotscherJuliane DornKristina Scheelen-NováčekYannick AhlbrechtTina JakobToni SchönbuchnerJosé CanalejoBenjamin DuckeEmmanuele Petiti
Published in: Orphanet journal of rare diseases (2024)
As an open, collaborative repository for collecting, mapping and querying well-structured medical data on individuals from ancient times, the DAARD opens new avenues of research. Over time, the number of rare diseases will increase through the addition of new cases from varied backgrounds such as museum collections and archaeological excavations. Depending on the research question, phenotypic or genetic information can be retrieved, as well as information on the general occurrence of a rare disease in selected space-time intervals. Furthermore, for individuals diagnosed with a rare disease, this approach can help them to build identity and reveal an aspect of their condition they might not have been aware of. Thus, the DAARD contributes to the understanding of rare diseases from a long-term perspective and adds to the latest medical research.
Keyphrases
  • healthcare
  • gene expression
  • risk assessment
  • machine learning
  • quality improvement
  • big data
  • deep learning
  • high density