Delivering real-time insight into your kidney function
Empowering freedom with actionable health data

Application
We are a MedTech startup tackling one of the toughest challenges in healthcare:
preventing kidney failure
We are developing the first wearable device that tracks kidney function in real time using minimum amounts of sweat, a breakthrough not previously done at scale.
This technology offers a painless and convenient alternative to frequent blood and urine tests,
enabling faster interventions,
improved patient outcomes
Business
- More than 1 in 7 people has chronic kidney disease (CKD)
- About 9 in 10 with CKD are unaware because symptoms usually appear late
- CKD projected to be 5th leading cause of death by 2040
- Approximately 1 in 4 Medicare dollars is spent on kidney patients
- ~300 B € global CKD burden
- Rapid growth in remote monitoring
- Expansion into sports performance & wellness
Science
Sweat is a biofluid which is rich in biomarkers and can be noninvasively sampled and is therefore the ideal candidate for semicontinuous health monitoring. Despite its advantages, sweat sensing is not yet an established method for health monitoring in the clinical setting, due to the low sweat volumes produced by patients in rest. Therefore, a novel approach is imperative, one that can provide timely information when dealing with small volumes of sweat. We have developed an approach based on discretised microfluidics that enables the use of small volumes of sweat for semicontinuous and noninvasive health monitoring. The sweat sensing platform in development enables usage of low volumes of sweat for analysis and provides a platform to use sweat for health monitoring.
Sweat is a biofluid which is rich in biomarkers and can be noninvasively sampled and is therefore the ideal candidate for semicontinuous health monitoring. Despite its advantages, sweat sensing is not yet an established method for health monitoring in the clinical setting, due to the low sweat volumes produced by patients in rest. Therefore, a novel approach is imperative, one that can provide timely information when dealing with small volumes of sweat. We have developed an approach based on discretised microfluidics that enables the use of small volumes of sweat for semicontinuous and noninvasive health monitoring. The sweat sensing platform in development enables usage of low volumes of sweat for analysis and provides a platform to use sweat for health monitoring.
Originating from Eindhoven University of Technology, our innovative sweat-analyzing patch, BEA, uses discretized microfluidics to continuously and noninvasively monitor kidney health.


Health monitoring in hospitals is achieved by the continuous measurement of vital signs. In addition to continuously monitoring vital signs, obtaining crucial health information can involve measuring biomarkers in blood. These diagnostic tests are typically carried out in the clinical laboratory of the hospital. The time delay between collecting a blood sample and receiving laboratory results can pose a significant challenge, for instance when a hospitalised patient’s condition deteriorates rapidly. Moreover, the use of blood inherently makes biomarker measurements noncontinuous.
Addressing these challenges and reducing the time gap between biofluid sampling and result acquisition calls for a novel approach: semicontinuous noninvasive monitoring of biomarkers.
Publications
Moonen, E. J. M., Haakma, J. R., Peri, E., Pelssers, E., Mischi, M., & den Toonder, J. M. J. (2020). Wearable sweat sensing for prolonged, semicontinuous, and nonobtrusive health monitoring. View, 1(4), Artikel 20200077. https://doi.org/10.1002/VIW.20200077
Moonen, E. J. M., Verberne, W., Pelssers, E., Heikenfeld, J., & den Toonder, J. M. J. (2024). Discretised microfluidics for noninvasive health monitoring using sweat sensing. Lab on a Chip, 2024(24), 5304-5317 . https://doi.org/10.1039/d4lc00763h
Transport based on discretised microfluidics

Integrated wearable devices

Team

Rahul Kumar
Hardware Architect
News
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Contact
timon@dxcrete.nl



