Each spectroscopic measurement contains several thousand variables and data points. The analytical algorithm that we are developing first calculates the most important areas of the spectrum and reduces this vast amount of information to its most essential content.

In the second step the presence, ratios, and inter­actions of specific spectral features are analysed, compared to a reference database and assorted into dif­ferent data-clusters representing a healthy or cance­rous diagnosis, along with the specific kind of cancer.

We are designing our test system, analytical algorithm, and database for continuous collection and storage of all incoming anonymised patient’s fingerprints. As soon as a diagnostic feedback has been acquired, the additional data will be integrated into the ever growing database, leading to a progressive increase in the diagnostic test accuracy.

Once we perfected our test algorithm, the CancerScan will neither require a specialist to perform or interpret the test, nor will highly sophisticated and expensive laboratory devices be needed to get a reliable result. The blood analysis takes less than a minute and can be performed by a technician. The findings are immediately available and the patient will not need to wait for two weeks in order to have certainty about his state of health.