The startup develops a lab-on-a-chip technology for non-invasive diagnostics, specifically designed to detect cystic fibrosis quickly and affordably. This device enables healthcare professionals to perform early remote diagnoses across all age groups and physical conditions without the need for invasive procedures.
Funding
$550K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional methods for diagnosing cystic fibrosis often involve invasive procedures and can be time-consuming, leading to delays in diagnosis and treatment. Current diagnostic techniques may also require specialized laboratory equipment and trained personnel, limiting accessibility and increasing costs.
Solution
Sense4Med is developing Cl¯ Fast, a point-of-care, paper-based lab-on-a-chip device for rapid and non-invasive diagnosis of cystic fibrosis through sweat chloride analysis. The device utilizes screen-printed electrodes and thin-film technology to measure chloride ion concentration in sweat samples within minutes, without the need for toxic reagents. A small reader connected to a smartphone processes the sensor's response, and a dedicated app digitalizes the clinical data. This approach enables fast, user-friendly, and sustainable chloride analysis, reducing the environmental impact and eliminating the need for extensive laboratory setups.
Target Audience
The primary target audience includes healthcare professionals, diagnostic laboratories, and hospitals seeking a rapid, non-invasive, and cost-effective solution for cystic fibrosis diagnosis, as well as industries requiring customized sensor solutions.
Features
- Paper-based lab-on-a-chip design for point-of-care diagnostics
- Non-invasive sweat chloride analysis
- Rapid results within minutes
- Screen-printed electrodes utilizing thin-film technology
- Reagent-free operation, enhancing sustainability
- Portable reader device connected to a smartphone for data processing
- Dedicated smartphone application for clinical data digitalization
- Capability for customized sensor development and third-party manufacturing