Kidney Disease Sweat sensor patch for Early diagnosis and Remote MonIToring
The KERMIT project aims to develop a cost-effective, disposable sweat patch for non-invasive early detection and remote monitoring of chronic kidney disease biomarkers.
Projectdetails
Introduction
Human sweat is abundant with biomarkers that provide information about underlying health conditions. In combination with the capabilities of wearable devices, sweat monitoring offers a promising pathway to continuous healthcare.
Chronic Kidney Disease (CKD)
Chronic kidney disease (CKD) is a long-term condition in which waste cannot be removed from the bloodstream, potentially leading to recurring infections and early cardiovascular disease. It affects over 100 million people in Europe alone and can go unnoticed until severe symptoms appear.
Potential for Non-Invasive Screening
There is enormous potential to develop non-invasive mass screening technologies for early diagnosis and monitoring, which can lead to preventive treatment.
Project Proposal: KERMIT
Here, we propose a kidney disease sweat patch for early detection and remote monitoring (KERMIT). This project merges three main concepts:
- Development of a cost-effective and disposable sensing platform with minimal environmental impact.
- Unobtrusive detection of three CKD biomarkers (cystatin-c, creatinine, and urea) from sweat.
- Association of sweat-based concentration with blood levels, symptoms, and overall disease progress.
Platform Design
The simplified disposable platform includes:
- An iontophoresis device to produce sweat.
- A microfluidics collection system.
- A single chip to power, read, analyze, and wirelessly transmit data from various electrochemical sensors through smartphone RF/NFC protocols.
Manufacturing and Sustainability
The manufacturing process utilizes scalable printing techniques with sustainable materials, ensuring cost-effectiveness while minimizing environmental impact after disposal.
Validation and Impact
Through quantitative comparison with standard testing methodologies, the proposed system is envisioned to increase knowledge and validate sweat-based non-invasive diagnostics for CKD and a variety of diseases. This will allow for non-invasive routine screening of populations at risk and remote health monitoring, opening opportunities for targeted hospital and government health programs.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 3.080.623 |
Totale projectbegroting | € 3.080.623 |
Tijdlijn
Startdatum | 1-7-2023 |
Einddatum | 30-6-2026 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- SILICON AUSTRIA LABS GMBHpenvoerder
- CONSIGLIO NAZIONALE DELLE RICERCHE
- UNIVERSITA DI PISA
- TECHNISCHE UNIVERSITAET GRAZ
- INFINEON TECHNOLOGIES AUSTRIA AG
- FUNDACJA MY PACJENCI
- PANEPISTIMIO IOANNINON
Land(en)
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Remote SWEATSkin PATCH for Monitoring Breast Cancer Therapeutic Response
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Ontwikkeling van een diagnostische test voor de vroege detectie van chronische nierschade
Dit project onderzoekt de ontwikkeling van een niet-invasieve test voor de vroege detectie van chronische nierschade.
Identification of novel diagnostic, predictive and therapeutic strategies in chronic kidney disease
TargetCKD aims to revolutionize chronic kidney disease management by developing noninvasive diagnostics and novel therapeutics through advanced genomic technologies and interdisciplinary research.
Early detection, molecular mechanisms and therapeutic interventions in chronic kidney disease
ELIMINATE-CKD aims to enhance chronic kidney disease detection by developing a method to quantify nephron number using multi-omics and machine learning for improved diagnostics and therapies.
Improving Kidney Health by Targeting Urinary Biomarkers for Tubular Function
U-Tube aims to identify urinary biomarkers for tubular function to enable early detection and treatment of progressive chronic kidney disease, improving patient outcomes.
Haalbaarheid Renal Tracker+
Het project onderzoekt de haalbaarheid van de Renal Tracker+, een serviceproduct dat nierpatiënten helpt om de impact van levensstijlveranderingen op hun ziekte te monitoren.