Genome-Centric Multimodal Data Integration in Personalised Cardiovascular Medicine.

Genomic data curation

Data curation in the genomics space requires a complex, integrated processing pipeline. Genetic association studies may encompass millions of genomic variants and stringent quality control is obligatory to establish reliable gene-disease relationships. Manual processes are not scalable and are time consuming. NextGen will develop extensible AI-guided genomic data curation pipelines, to complement other AI mediated data curation initiatives. Furthermore, the more accurate understanding of gene-disease relationships will allow the right genomic information to be included in multimodal datasets which will improve algorithmic precision and predictive power.

Tools Barriers addressed: Inadequate scaling of genomic data curation pipelines limiting research useability.