The idea for hellob.io (trading name of Healthmark B.V.) was born in the autumn of 2019. We aimed at providing tools for low-threshold self testing, to enable the consumer to gain a better understanding of ones health without the cost and complexity that often comes with it.
When the corona pandemic turned the world upside down a few months later, it became even more clear how important health is, and that it is useful to gain (a more frequent) insight into your ‘basic health’ through testing. This does not only apply to viruses, but to all factors that can threaten your health. hellob.io started the development of what now has become our proprietary ‘hellob.io rapid test scanner’ (pat. pending 63/187,742).
The scanner is created with AI Computer Vision technology and transforms the camera of your own mobile phone into a professional grade rapid test scanner and allows you to read the results.
Originally created to objectively determine the results of rapid tests for e.g. Vitamin D and the likes, currently also employed to scan Covid Rapid Antigen Tests.
The determination of the result of a Covid rapid antigen test potentially has a big impact on your life. The more reason to determine it as accurate and objectively as possible. For that purpose, we have performed an elaborate study, in conjunction with the Dutch government, to verify and validate the performance of the software. Following strict protocols on how to perform such a study. Before commencing the study, a threshold of 99% was set to determine pass or fail. The outcome of the study is an accuracy of 99,7%, whereas the remaining 0,3% has provided insights on the basis of which the scanner software can be improved to score even closer to 100%. In the validation study, the software has been validated against the trained human eyes of healthcare professionals at a GGD (Dutch community health institute) test location. Since the validation, the software has been used to determine and store the result of a large number of Rapid Antigen Tests for a variety of target audiences (construction workers, medical personnel, miners etc.), therewith actually making a difference by spotting positives where the human eye saw a negative.
Building on this unique learning curve, we have set out to rapidly expand the capabilities to read more different types of tests and to also set a next step towards the horizon we created back in 2019: to gather data from multiple data sources with the aim to converge them into valuable insights.