Can spectroscopy save hospitals millions?
Over-burdened diagnostic labs
Cancer diagnostic waiting times are ever-increasing, putting more and more of us at risk. Shockingly, this could be totally avoidable by reducing the number of completely healthy samples from being sent to diagnostic labs. This is because between 90 and 99% of all samples sent for cancer testing are healthy.
DynamX Medical shines light on cancer
At DynamX Medical we focus on eliminating the burden of samples sent to our diagnostic laboratories. We will do this by hugely reducing the number of healthy samples sent to the lab. This is called ‘screening’, and we do this using spectroscopy.
Light gives us the ability to see, it does this by interacting with everything around us. Spectroscopy is a scientific measurement of how this light interacts with our surroundings. When light is shone onto a biological sample, it’s biochemical make-up can be determined, meaning that spectroscopy can be used to detect diseases.
Biopsies – a point-of-care biopsy screening system that can halve the number of samples requiring histopathology analysis.
Cells – a non-invasive screening solution for early-stage detection of diseases, including lung cancer, using cell smears.
Aqueous – a point-of-care, cost-effective screening solution for use on common biofluid samples, including blood, urine and saliva.
- Based on widely commercially available IR technology for easy integration
- Quick and easy to operate
- Minimal sample preparation
- Can be expanded to other diseases/sample types
Efficiency is at our core
We are passionate about bringing tomorrows diagnostics, today. This is why we combine our proprietary software and diagnostic algorithms to commercially available hardware. This allows us to reduce hardware development life cycles, speeding up our time to market and lowering our development costs, which we can then pass on to the patient.
With over 20 years experience in biochemical analysis, our founders were able to create a proprietary toolset to deal with a variety of biological samples. This makes our diagnostic algorithms independent of types of diseases and even samples.