GenDAI – AI-Assisted Laboratory Diagnostics for Genomic Applications

Genomic applications like gene expression analysis or metagenomics are increasingly useful tools for laboratory diagnostics as they provide biomarkers for physiological and pathophysiological states. Artificial intelligence can help to analyze, visualize and interpret results obtained by genomic instruments. However, most software solutions for the analysis of genomic data are not suitable for laboratory use as they face several legal and technical challenges. Therefore, we propose a conceptual architecture named “GenDAI” that combines artificial intelligence and genomic applications while taking into account the challenges of laboratory diagnostics. GenDAI is based on two previous conceptual models, one for gene expression analysis and one for metagenomics. An upcoming prestudy will explore more detailed regulatory and technical requirements and gather use cases from laboratory practice, which will allow practical validation of the proposed solution in the future.