Biomarker Discovery
Finding signals that change decisions — diagnostic, prognostic and predictive biomarkers, rigorously validated.
What this area is.
A biomarker is only useful if it is reproducible and changes a decision. We discover candidate signatures with disciplined feature selection and machine learning, then guard against over-fitting with cross- and external validation.
Candidates are evaluated by ROC/AUC and survival association, and the best are assembled into compact, multi-omic panels with clear clinical intent.
Tools & technologies
What we do.
Core methods we apply in biomarker discovery.
Feature selection
Stable, interpretable selection from high-dimensional data.
ML classifiers
Models tuned for discrimination and calibration.
Validation
Cross-validation and independent external testing.
Performance metrics
ROC/AUC, sensitivity, specificity and calibration.
Survival association
Linking markers to outcome with Kaplan–Meier and Cox.
Panel design
Compact, multi-omic signatures for real use.
From data to insight.
How a biomarker discovery project flows end to end.
Cohort
molecular + outcome
Select
feature selection
Train
ML classifier
Validate
CV + external
Evaluate
ROC · survival
Panel
clinical signature
Publication-grade figures.
Interactive, live-rendered visualisations used in biomarker discovery.
Where we go deep.
Early detection
Markers that flag disease sooner.
Prognostic signatures
Stratifying risk to guide management.
Predictive biomarkers
Matching patients to therapies that work.
Questions we answer.
A few of the things people ask about biomarker discovery — and our short answers. Ask CGB-AI for more.
Why is external validation essential?
Models over-fit discovery cohorts; independent data is the only honest test of whether a biomarker generalises.
Single marker or panel?
Panels usually beat single markers on robustness — but must stay compact and interpretable to be clinically usable.
Publications in Biomarker Discovery.
Drawn from our full record of 173 papers, filtered to this area.
Start a biomarker discovery project.
Tell us the biological question and the data you have — we will map out an approach.