D8.3 - GenoMed4All Genomic Standardization Guidelines (final report)

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Authors: Teresa García‐Lezana
Cited by: 0

Abstract

Data standardization involves transforming data into a consistent common format to enable, among others, data interoperability. Representation of genomic information is highly varied and complex. Several well-known formats and tools have been developed to store and exchange such data. Despite this, there remains a high level of heterogeneity involving the use of different terminologies, conventions, and assumptions making genomic data integration challenging. Precise actual representation of genomic information is important for the application of artificial intelligence in a clinical context. In this report we review the current state of the art and the interoperability needs of the different scenarios of Genomed4all use cases. In addition, we outline the standardization requirements to a) include new data to keep training the AI models and b) input individual patient data to obtain clinical predictions.

Fields of Study & Subjects

Biomedical Text Mining and Ontologies Electronic Health Records Systems Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 January 2026