Regular “blood fingerprints” add up to a data series. The service COR provides is analysis in relation to a library of (longitudinal, or time series) reference response patterns, which COR has been building around data from trials of widely accepted health practices and interventions.
Now, consider COR’s outputs. Like so many offerings in the consumer health devices space, it looks like access to (raw or raw-ish) data is limited (very happy to be corrected on this). From what I can tell, the readouts are presented in relation to COR’s library data distributions, each of which is associated with a particular intervention.
The tech itself is pretty amazing - having this sort of capability available at home would seem to push the envelope on real-time insight into biological health (biostatus). And such insights are ultimately the prerequisite to individualized biostatus control.
But it’s not clear that COR users are - or will be - enabled to take advantage of the full power of the platform. Ideally, COR would enable users to save their raw time series data in a useful data format, alongside the measurement specs - and not limited to an aggregated ‘score’ which doesn’t play well with a user’s other raw datasets. The options for analysis would then extend beyond limited comparison with the specific libraries COR has compiled. And the user would be armed with more complete knowledge about what COR’s data does and doesn’t represent.