If you are a diagnostic device manufacturer dealing with slow, lab-based testing times — this project developed a prototype that analyzes multiple biomarkers in just 5 seconds. This allows for immediate health status conclusions without waiting for laboratory results.
AI-Powered Breath Analysis Device for Rapid Non-Invasive Health Monitoring
Imagine a device like the Star Trek tricorder that can tell if you are sick just by having you breathe into it for a few seconds. It looks for specific chemical fingerprints in your breath that act as warning signs for diseases. By using special lasers and AI, it turns a complex lab test into a quick, handheld check-up.
What needed solving
Current breath analysis relies on expensive, slow laboratory spectroscopy. This prevents the shift from reactive, symptom-driven care to proactive, continuous health monitoring.
What was built
A prototype for non-invasive breath analysis using mid-infrared spectroscopy, QCL laser arrays, and AI signal processing.
Who needs this
Who can put this to work
If you are a monitoring provider dealing with invasive testing that patients dislike — this project developed a non-invasive breath analyzer. It allows for continuous health tracking that integrates into daily life without causing discomfort to the user.
If you are a tech developer dealing with the lack of chemical biomarkers in wearables — this project developed a compact mid-infrared spectroscopy system. It can detect over 1,000 substances in breath to provide a clear picture of a person's health status.
Quick answers
What is the estimated cost or price of the device?
Based on available project data, the specific price is not listed, but the project objective is to examine ways to make the final instrument compact and potentially inexpensive.
Can this technology be scaled for industrial production?
The project aims to move technology beyond the state-of-the-art to a TRL5 prototype, focusing on a compact design that can be integrated into everyday life.
Who owns the IP and how is licensing handled?
Based on available project data, there is no specific information regarding IP ownership or licensing terms provided in the summary.
How quickly can the device provide a diagnosis?
The device is designed to conclude the health status of an individual within a 5 second use of the device.
How does the device integrate with existing health data systems?
The system uses AI-based signal processing to analyze volatile organic compounds and draw conclusions about health status, though specific software integration protocols are not detailed.
Who built it
The consortium is heavily industry-weighted with 8 industrial partners (67% ratio), including 7 SMEs. This suggests a strong focus on commercialization and practical application rather than pure academic research, supported by 3 universities and 1 research center across 7 countries.
Contact MITERA IDIOTIKI GENIKI, MAIEYTIKI, GYNAIKOLOGIKI KAI PAIDIATRIKI KLINIKI ANONYMI ETAIREIA in Greece
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Contact us to explore licensing opportunities for this TRL5 breath analysis technology.