Driving biomarker discovery for disease detection, patient stratification, & therapeutic monitoring
Metabolomics with AI-driven analysis to discover, prioritize, and translate metabolic signatures into actionable clinical evidence.
Metabolomics profiles small-molecule signatures directly from patient samples, offering a real-time snapshot of biochemical activity across health and disease. Applied to clinical research, these metabolite biomarker panels can enable earlier disease detection, objective stratification, and monitoring therapeutic response.
We routinely partner with clinicians, academic medical centers, and diagnostics developers across research areas, bringing experience in multicenter cohort studies and clinical collaborations. We ensure that data generation, processing, and interpretation adhere to rigorous QC and publication-grade standards.
Our Capabilities
Validated HRMS workflows
Discovery-based profiling in plasma, serum, urine, saliva, tissue extracts, and dried blood spots with wide metabolite annotation coverage
Automated data analysis (MSOne and MetaStat)
Robust AI-powered data processing and statistics to uncover disease-associated signatures
Multivariate and Predictive Modeling
Pathway-level analysis, biomarker ranking, clustering/ classification, and research-stage risk prediction models
Time-resolved and longitudinal designs
Support for dynamic sampling designs to monitor metabolic changes across disease progression or interventions
Metadata Integration and Study-Specific QC
Internal standards, batch correction, and integration with clinical variables to deliver harmonized, reproducible datasets
Ready to build a robust biomarker pipeline?
Connect with our scientists to incorporate metabolomics in your next clinical study.