Beyond the Genome: Leveraging AI-Backed Informatics for Multi-Modal Discovery

The rapid expansion of multiomics technologies is generating unprecedented volumes of data, offering new opportunities to better understand the molecular complexity of biology and disease. However, integrating and interpreting these diverse data types remains a significant challenge.
This presentation explores how modern informatics approaches, supported by AI-enabled methods, can be applied to multiomics datasets to improve variant interpretation, prioritize functionally relevant alterations, and enable the discovery of novel biomarkers that may not be apparent from single-omic analyses. We will discuss strategies for integrating heterogeneous data modalities, including genomic, transcriptomic, and epigenetic data, and how these approaches can support more comprehensive and biologically meaningful insights. We will also highlight recent advances in Illumina’s informatics ecosystem, including scalable analysis pipelines, structured interpretation frameworks, and large-scale reference datasets such as the Billion Cell Atlas. Together, these developments are helping to bridge traditionally separate domains and enable more integrated, data-driven approaches to biological discovery and translational research.