Longitudinal research
Investigate earlier signs of diabetes risk.
We want to learn which changes matter before a diabetes diagnosis is recorded, and whether understanding them can lead to useful follow-up.
Can practical measurements support earlier, more useful assessment?
Our proposed approach
Define a population, an outcome and a meaningful time horizon.
Use only information available before the prediction date.
Measure calibration, false positives and the value of follow-up.
What we aim to build.
Externally evaluated research on future metabolic risk. Individual diagnosis and prevention claims require a separate clinical evidence pathway.
Research program · In developmentThe scientific foundation.
Survival models and decision analysis
Disease progression and clinical phenotype
Routine assays and optional measured biomarkers
Longitudinal outcomes and independent validation
The foundation behind the work
Data. Models. Scientific understanding.
We are building a shared diabetes evidence library, the Metra model research program and Foundry’s controlled data workflows to support our research and future applications.
Research partnerships
Help build better
diabetes research.
Discuss a study, a data source or a practical need with us.
Contact us