Microbiome-Based Diagnostics for Diabetic Foot Ulcer Risk
AI-powered point-of-care diagnostics for rapid risk stratification in diabetic foot ulcers — results in 10-15 minutes.
The Problem
Culture-based testing is slow and lab-dependent
Advanced testing is costly and limited in low-resource settings
No existing solution predicts risk before infection escalates
Our Solution
Multi-Target Detection
Combinatorial approach captures diverse pathogen profiles specific to diabetic foot infections.
Multiplex LFA Technology
Simultaneous detection of multiple markers in a single, easy-to-use test strip — results in 10-15 minutes.
ML-Driven Risk Index
Machine learning algorithms analyze marker patterns to generate clinically actionable risk scores.
Smartphone Integration
Mobile app provides instant results interpretation, data capture, and clinical decision support.
Three-Zone Risk Stratification
Clear classification guides treatment decisions and enables early intervention
Routine monitoring, standard care protocols
Enhanced surveillance, preventive intervention
Immediate clinical action, specialist referral
Interested in Our DFU Diagnostics?
We're seeking clinical partnerships, investment, and collaboration.
Contact Us