The Challenge

A leading animal health company had amassed large volumes of molecular data and needed to develop diagnostics for chronic kidney disease (CKD) in cats and dogs. They faced challenges in managing, integrating and extracting value from thousands of proteomic, genomic and transcriptomic datasets.

Our Approach

We devised a FAIR data strategy, built a scalable multi‑omics integration platform and discovered novel CKD biomarkers with a management roadmap.

• Data strategy & FAIR implementation: Enhanced data FAIRness, streamlined bioinformatics processes and catalogued all omics datasets across the organisation.
• Scalable multi‑omics integration: Implemented BioMx® to process and integrate thousands of datasets, enabling cross‑species and cross‑omics insights.
• Biomarker discovery & management roadmap: Identified a novel CKD biomarker panel and delivered a three‑year roadmap including human‑to‑animal omics translation.

The Outcome

• Identified breakthrough biomarkers enabling early CKD diagnosis and improved prognosis in companion animals.
• Provided a scalable multi‑omics infrastructure and a step‑wise plan to unify bioinformatics teams.
• Demonstrated how human‑to‑animal translation can enhance diagnostic capabilities in veterinary medicine.

Why It Matters

By integrating multi‑omics across species and implementing FAIR principles, this project brings veterinary diagnostics closer to the standard of human medicine. Early detection of CKD can improve treatment options and quality of life for millions of pets.