BAGLE
Research Use Only

Type 2 Diabetes Risk AssessmentPowered by GLE

AI-powered serum metabolomics analysis. Multi-biomarker risk assessment validated on 300 clinical samples. For research use only.

100-second overview of our Type 2 Diabetes risk assessment model

Rigorously validated with Leave-One-Out Cross-Validation (LOOCV) on 300 samples

91%
Sensitivity
97.5%
Specificity
95.3%
Accuracy
0.987
AUC-ROC

GLE T2D Model Capabilities

Powered by our General Learning Encoder (GLE) — one foundational architecture for biomedical signals

Multi-Biomarker Analysis

Analyzes 1,291 metabolites simultaneously from LC-MS serum data. Detects patterns invisible to single-marker tests.

Rigorously Validated

LOOCV validated on 300 clinical samples. Shuffle test confirms real signal, not artifacts. No data leakage.

Foundational GLE Architecture

Built on our General Learning Encoder — the transformer paradigm for biomedical signals. One architecture, multiple diseases.

Research Use Only

This model is for research purposes only. Not FDA approved. Cannot diagnose diabetes. Requires laboratory LC-MS analysis.

API Access

Integration with your existing lab workflows. Structured risk reports from metabolomics data.

Research Partnership

Early partners define how the world applies this technology. Collaborate on validation studies and publications.

Important Information

  • • Sample Type: This model requires blood serum samples analyzed via LC-MS metabolomics
  • • Not Compatible: Saliva samples, Raman spectroscopy, point-of-care devices, or home testing kits
  • • Classification: Research Use Only — not approved for clinical diagnosis
  • • Purpose: Risk assessment screening tool, not a diagnostic device
Research Licenses Available

Request Research Access

Get API access to our T2D risk assessment model for biomarker research, clinical pilot programs, or method development.

REST API Access

Structured risk reports from metabolomics data

Technical Documentation

Full validation methodology and data requirements

Research Support

Collaborate with our team on your studies

Complete the form below

All fields marked * are required

Note: This model requires LC-MS serum metabolomics data (1,291 metabolites).

Research Use Only
Secure API
Full Documentation

Prefer email? Contact us directly at [email protected]