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AOMM™ Science · White paper 01

Also in this series: White paper 02 — Platform (coming soon)

Computing oral minimal model indices is no longer a bottleneck.

Simone Perazzolo · August 2026

Fast, reliable, and validated. Automated Oral Minimal Model (AOMM™) program.

AOMM™ is a program that runs on your laptop and keeps your data there. It has been validated on historical and new data, across small and large cohorts — T1D, T2D, IGT, normoglycemia, and more. It recovers insulin sensitivity and β-cell responsivity (and the disposition index) from OGTT and MMTT tests in batch. The indices were previously validated against clamps/tracers for Si and insulin secretion. Based on the SAAM II architecture.

Paper
AOMM™ in action — batch oral minimal model analysis

Why is AOMM™ important?

Minimal model indices are among the most physiologically grounded approaches for assessing insulin sensitivity and β-cell function, but they remain difficult to compute reliably. In practice, the analysis often requires:

  • A data scientist or modeling expert to perform the analysis
  • An experienced modeler to review, troubleshoot, and validate the results
  • Specialized software such as SAAM II, or a custom implementation that may not be standardized or independently validated

As a result:

  • Results may vary across implementations, limiting reproducibility and confidence in multicenter studies and clinical trials
  • The analysis may be too time- and resource-intensive for routine use, leading teams to rely on simpler indices that can lose physiologically meaningful information

It’s like having a sports car that no one can drive — so you show up to the race in an easier one.

Claim. AOMM™ puts the physician in the driver’s seat of powerful physiological modeling.

What do you need?

Take your spreadsheet test results and input them into AOMM™.

  • OGTT / MMTT. Glucose amount in grams or g/kg (e.g., 75 g).
  • Timeline. Accepts all test timepoints — 5, 7, … n points in the −30 to 420 min range. Custom timelines are accepted.
  • Analytes. Glucose, insulin, and C-peptide for the full model run.
  • Demographics. Test ID, body weight (BW), BMI, and age at visit.

How does it perform at scale?

AOMM™ performs well at scale: about one test per second, up to ~10k tests in a run. In a TrialNet cohort of 10k+ OGTTs, success rates were >98% for extracting insulin sensitivity and β-cell secretion indices.

AOMM™ performance panels: runtime vs OGTT count, estimation success for Si and Φtotal, and precision by type 1 diabetes stage
Figure. AOMM™ time and estimation performance — runtime vs number of OGTTs, success rates for Si and Φtotal, and precision (CV) by stage. From ATTD Barcelona, 11–14 March 2026.

Architecture

AOMM™ takes clinical OGTT/MMTT data from a spreadsheet, runs quality-controlled batch preparation, executes the validated SAAM II oral minimal-model engine, and returns physiological estimates — insulin sensitivity (Si), β-cell responsivity (Φ), and the disposition index (DI).

AOMM™ analysis workflow: clinical CSV data, AOMM interface, validated SAAM II engine, physiological estimates
Figure. AOMM™ analysis workflow — from clinical data to physiological estimates on the SAAM II engine.

Acknowledgements

Breakthrough T1D, TrialNet, C-path, A Carr and P Senior U Alberta, A Gladerisi Yale, C Cobelli Padova, C Dyan Cardiff U.