ibiomic

We develop blood-based diagnostic tests that output a single quantitative health or disease index derived from multiple proteins.

Our biomarkers are designed to be:

• Robust – stable across cohorts and measurement platforms

• Low-dimensional – based on a small number of proteins

• Interpretable – grounded in biological system behavior, not black-box models

• Clinically practical – translatable to standard protein detection assays or devices

1. We start from high-throughput proteomics

Blood samples from labeled cohorts of patients are sent to high-throughput proteomic test.

2. Mathematical data analysis and biomarker formula construction

Proprietary algorithms identify low-dimensional combinations of proteins that reliably separate health and diseased states.

3. Validation and refinement

Discovered biomarker formulas are tested and refined by re-measuring identified proteins with more reliable laboratory methods.

4. Clinical translation

Final biomarker formula can be implemented using standard laboratory protein detection methods or embedded into dedicated diagnostic devices.

Biological systems are nonlinear and multivariate. Single-protein markers often fail because they capture only fragments of system behavior.

At the same time, highly dimensional and neural-network–based diagnostic algorithms risk overfitting and often lack universality.

Founded by a mathematical biologist with extensive experience in proteomic data analysis and systems modeling.

The founder developed the core algorithms for multi-protein biomarker construction, which have been published as preprints. All implementations and improvements are fully owned and maintained by ibiomic for use in developing clinically actionable biomarkers.

We believe that our approach is a straightforward path to discovering diagnostics for many underdiagnosed diseases. This path is not easy: it requires collecting proteomic data from well-labeled patient cohorts and processing it through our pipeline. It is a lot of work - but we are ready to do it.

Interested in collaboration, early access, or learning more about ibiomic?

You can email us directly, or submit a request via this form.