Rapid Lifestyle Prototyping: the future of self-directed life improvement.

Medicine knows a lot about which nutrition and fitness interventions are beneficial in the quest for human health, performance, and longevity. Volumes of clinical studies have resulted in knowledge of “what works” on average, but there is always a large range of response. This is the problem we aimed to solve at COR. We use blood, obtained through a simplified process, not to determine disease biomarkers, but to find associations between patterns of blood spectroscopic changes and specific nutrition and fitness practices. Lab panel data is not particularly useful for “rapid lifestyle prototyping” There is a need to rapid-test nutrition and fitness practices to see how your own body will respond to them, to let you decide to keep doing them or not. This is largely the quest of the burgeoning field of digital health. But while blood has long been looked to as the “gold standard” for assessing health in medicine, it is not yet used in a consumer-led process of “rapid lifestyle prototyping”. There are many reasons for this, but possibly the biggest reason is that laboratory blood chemistry developed in service of disease diagnosis, where the data cadence is yearly and the effect size is large. Lab medicine today consequently tolerates large error terms because better accuracy is not medically needed and therefore would be unnecessarily expensive. Furthermore, lab panel data is not particularly useful for “rapid lifestyle prototyping” because changes in healthy people over short intervals are usually smaller than the lab error, and because blood labs are a complex and uncomfortable process. All without measuring a single biomarker. But what if there is another kind of information in blood? Information that is non-medical, non-disease-risk related? What if we could use a completely different kind of technology to look at blood in a consumer loop entirely at home and be able to provide a rapid look at how well your body is responding to any particular set of fitness and nutrition interventions? You don’t need biomarkers for that. We wanted to test these ideas. The white paper we published last week shows the results of our five years of efforts. The simplicity, uniqueness, and utility of this system is immediately clear, and this white paper digs into the details for a scientific audience. We have been running the IRB-approved COR.RELATE study continuously now for six months, involving hundreds of COR spectrometer consoles, hundreds of healthy research subjects, and generating millions of data points. The conclusions are clear: We can use data analytics to find statistical significance in correlations between doing lifestyle interventions and blood response patterns in the data. It is also clear that we can normalize and scale the response data to show the range of response on an individual basis. All without measuring a single biomarker. It isn’t a stretch to claim that this is the Holy Grail of consumer digital health. Since blood is the gold standard, the actionability of COR BRP data will come to be considered much more useful than virtually any wearable data, all while we maintain a consumer-centric approach and user experience. The future of self-directed life improvement through Rapid Lifestyle Prototyping is bright and we at COR are extremely proud to be leading the way. Bob Messerschmidt Founder and CEO