The Anylite eHealth platform introduces digital and peer-reviewed and continuous reference curves to improve clinical interpretation of patient measurements and blood sample results. Our solution enables both quantitative benchmarking and visual representation of patient measurements and blood sample profiles. Anylite is the first framework and service to assign age- and gender-adjusted percentile z-scores for biochemical and endocrine markers of disease and aberrant growth/development. Our vision is the future of laboratory medicine, where quantitative patient profiles are instantly mapped to digital references to enhance clinical insight.
In collaboration with Norwegian and foreign research partners, we continuously publish peer-reviewed references, sourced using the WHO-endorsed growth curve algorithm, and include into our platform reference library. Moreover, we are keenly exploring opportunities to integrate machine learning (ML)-assisted diagnostics and have finalized our workflow to integrate API-based prediction models in the Anylite dashboard. In collaboration projects with the fish breeding facilities and experts in fish health, we are also expanding the scope of the Anylite platform with a rationale to benchmark fish blood samples for industrial purposes.
We are currently working configure Anylite to run on the DIPS platform – in the meantime you are welcome to try the Anylite dashboard in English, Norwegian or German from our website: https://anylite.io