Ultima Genomics to Generate 1M-Sample Multi-Omic Dataset for Mayo Clinic-Led AI Initiative

  • Ultima Genomics' UG200™ Ultra Sequencing Platform selected for 1M-sample multi-omic dataset generation for Precure, LLC, a Mayo Clinic and Thermo Fisher Scientific initiative.
  • Dataset integrates proteomic, genomic, and longitudinal clinical data from 1M biospecimens.
  • Helix, Inc. will serve as multi-omics lab and AI tools provider, using a fleet of UG200 Sequencing Platforms.
  • Ultima's recent advancements include Solaris 2.0 Chemistry, paired-end sequencing, and a pangenome aligner in development with NVIDIA on Google DeepVariant.
  • Ultima to provide further details on UG200 advancements in Q4 2026.

This initiative represents one of the largest human multi-omics data generation efforts to date, leveraging advanced AI and large-scale data analytics to identify early biological signals of disease. The convergence of low-cost sequencing, proteomics technology, longitudinal clinical data, and AI/ML is opening new opportunities for pioneering institutions to advance patient care. The scale of this project, involving 1M biospecimens, underscores the growing importance of genomic and proteomic data in healthcare research and diagnostics.

Technology Scaling
Whether Ultima can sustain the pace of advancements in sequencing technology to maintain its competitive edge.
Data Integration
How effectively the multi-omic dataset can be integrated and analyzed to derive actionable insights for disease biology, diagnostics, and therapeutics.
Market Impact
The potential impact of this initiative on the broader genomics and healthcare markets, particularly in advancing early disease detection and prevention.