Industries · Precision Medicine

Precision Medicine

Precision medicine depends on robust molecular stratification. OMICS4 runs the multi-omics data generation behind patient subtyping and biomarker validation for research-use applications, via our in-house platforms.

Overview

Multi-omics data for patient stratification

Precision medicine depends on robust molecular stratification. OMICS4 runs the multi-omics data generation behind patient subtyping and biomarker validation for research-use applications, via our in-house platforms.

OMICS4 capabilities

Built for cohort-scale stratification

Multi-omics data generation for patient stratification

Genomics, transcriptomics and clinical layers generated per cohort.

  • Genomics & transcriptomics data generation across sample sets
  • Patient subgroup-ready sample processing
  • Workflows built per cohort, not generic templates
See related platform

Biomarker validation for research-use applications

Candidate biomarkers confirmed with orthogonal, independent methods.

  • Orthogonal validation (qPCR/ddPCR) of candidate biomarkers
  • Independent cohort cross-validation support
  • Research-use reporting aligned to your study protocol
See related platform

Molecular subtyping sample workflows

Reproducible sequencing workflows linked to clinical outcome.

  • Sequencing workflows for unsupervised & supervised subtyping
  • Subtype-outcome association-ready datasets
  • Reproducible, versioned sample processing
See related platform

AI-assisted interpretation, via GenXMap

ML models and dashboards for clinical & molecular data, delivered by GenXMap's Computational Biology & AI layer on top of our wet-lab data.

  • ML models linking molecular subtype to outcome
  • Interactive cohort dashboards for your team
  • Model documentation suited to translational review
Talk to our team
Case studies Case studies for this industry are in preparation, so get in touch to discuss a project directly.

How OMICS4 adapts

How OMICS4 adapts to your process

No two programs run the same workflow. Here is how OMICS4 fits into what you already have in place.

Their reality

Study protocols define specific endpoints, cohorts and statistical plans already locked with your team.

How OMICS4 adapts

Sample processing plans are built around your existing protocol and endpoints, not a generic omics workflow.

Their reality

Clinical and molecular data live in separate systems: EDC, LIMS, sequencing outputs.

How OMICS4 adapts

Deliverables are formatted to integrate across your data sources into one coherent dataset.

Their reality

Research-use findings must stay clearly separated from any clinical or diagnostic claim.

How OMICS4 adapts

Reporting is scoped and labeled for research use, aligned with your regulatory positioning.

Their reality

Cohorts grow over multiple recruitment waves.

How OMICS4 adapts

Sample processing is versioned to incorporate new patient waves without reprocessing the full cohort.

Have a project in this space?

Let's talk about your sample, your question, your timeline.

Book a service