AOMM™ — automated insulin-sensitivity quantification.

A validated Windows desktop platform that quantifies insulin sensitivity (Sᵢ), β-cell function (Φ), and disposition index from OGTT and mixed-meal test data. Purpose-built for clinical trial PD endpoints and T1D progression research.

What AOMM does

AOMM implements the oral minimal model framework — a mechanistic representation of glucose-insulin dynamics during oral glucose challenges — and automates the entire analysis pipeline from raw OGTT/MTT data to clinical-trial-ready output.

Sᵢ — whole-body insulin sensitivity
Φ_total, Φ_static, Φ_dynamic — β-cell function indices
DI — disposition index
HOMA-IR / HOMA-β — fasting indices for cross-comparison
Glycemic indices — AUC, peak, time-to-peak

aomm — runtime

// AOMM v1.2.2 — runtime snapshot

λ aomm.load("cohort_n13.csv")

[ok] 13 subjects loaded

[ok] protocol: OGTT 75g

[ok] license verified

λ aomm.compute()

// fitted parameters

Si = 4.7e-4 ± 0.8e-4

phi_t = 392.1 ± 42.6

DI = 0.184 ± 0.022

[ok] report → ./out/aomm_report.pdf

Built for the audit

v1.2.2

✓

Galderisi-validated

Methods aligned with Galderisi et al. JCEM (2021, 2023, 2025) — the primary scientific evidence base.

⊕

Ed25519-signed

Cryptographically signed binaries with parent-process license guards and tamper detection.

21 CFR Part 11

Software validation log, audit trail, and IEC 62304 alignment for regulatory environments.

Request a demo

AOMM is available for academic research, clinical trials, and pharma PD endpoint qualification. Request a demo or technical evaluation to see it run on your data.

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