Real time Liver disease early diagnosis through exhaled Volatile Organic Compounds sensing
DiaNose aims to revolutionize NAFLD diagnostics with a cost-effective, hand-held device using AI to classify breath chemical signatures, achieving >90% accuracy for improved patient outcomes.
Projectdetails
Introduction
The analysis of volatile organic compounds (VOCs) in exhaled breath with nano sensors has great potential to transform healthcare, with accurate, inexpensive, real-time diagnostics. However, attempts to implement this strategy have failed to reach clinical deployment.
Challenges in Current Approaches
Firstly, many efforts try to identify the complex mixture of VOCs associated with disease, which is a long and expensive process.
Secondly, commercially available sensors require high operating temperatures and have low sensitivity to breath VOCs.
NaNose Medical's Solution
NaNose Medical has overcome these limitations through DiaNose, an easy-to-use, hand-held diagnostics device with potential applicability in over 20 different diseases.
Instead of identifying individual VOCs, DiaNose deploys an array of patented cross-reactive sensors delivering a chemical signature of breath that can be classified as healthy or diseased through artificial intelligence.
Focus on Non-Alcoholic Fatty Liver Disease (NAFLD)
Our initial alpha prototype focuses on a key clinical indication: Non-Alcoholic Fatty Liver Disease (NAFLD).
- With a global prevalence of 30%, it is the leading cause of liver-related morbidity.
- It generates an annual burden in Europe of over €35 billion and a further €200 billion of societal costs.
Limitations of Current NAFLD Diagnostics
Crucially, NAFLD diagnostics present key limitations:
- Liver biopsies are expensive, invasive, and subject to sampling error.
- Non-invasive alternatives lack precision, are operator-dependent, and require expert interpretation.
The Impact of DiaNose
DiaNose will fill this gap, aiming to achieve a diagnostic accuracy of over 90% at less than €50 per test.
Lab testing of our alpha prototype has shown high accuracy (88%) with NAFLD models.
Future Development with the ReLiV Project
With the ReLiV project, we will develop an advanced beta prototype that will be validated in clinical settings across different locations.
This will bring DiaNose one step closer to commercialization, providing a truly cost-effective, point-of-care detection and monitoring device capable of improving patient outcomes and alleviating the economic burden generated by the growing NAFLD pandemic.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.499.875 |
Totale projectbegroting | € 2.499.875 |
Tijdlijn
Startdatum | 1-5-2024 |
Einddatum | 30-4-2027 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- NANOSE MEDICAL LTDpenvoerder
Land(en)
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Metal-Organic-Framework Kinetic Array for Diabetes Detection
This project aims to develop a novel sensor using metal-organic frameworks to selectively detect volatile organic compounds in breath for non-invasive diabetes diagnosis.
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VOCORDER aims to develop a compact, efficient breath analysis device using advanced laser technology and AI to provide holistic health monitoring seamlessly integrated into daily life.
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Het BreathAI project ontwikkelt een betaalbare ademtestapparaat voor thuisdiagnose van COPD-exacerbaties, met AI-geoptimaliseerde biomarkeranalyse, gericht op kostenbesparing en verbeterde patiëntenzorg.
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